NewSAP Business Technology Platform, also named SAP Business AI Platform
78 changes
Yesterday
SAP CAP With Prostgres Serice in BTPpublishedA step-by-step walkthrough of a CAP bookshop project on @cap-js/postgres@cap-js/postgresThe PostgreSQL database service — the production option for running CAP off HANA, sharing the base service with the other three.sap official, cap, provisioning PostgreSQL on SAP BTP, hyperscaler optionPostgreSQL on SAP BTP, hyperscaler optionA managed PostgreSQL from the underlying hyperscaler — AWS, Azure, Google Cloud or Alicloud — consumed through a BTP service binding.sap official, btp's trial plan through
mta.yaml, building the MTA archive and deploying it to Cloud Foundry by hand, then inspecting the deployed database with pgAdmin over an SSH tunnel. It updates an earlier post by Mike ZaschkaMike Zaschkamaintains 6 entries, created 12 pieces, contributed to 9 entriesindependent on the same topic to the package CAP now ships by default, though the manual build-and-deploy sequence it shows predates 
cds up folding those steps into one command by a day.Database connectorsMon 19
Bridging Python and SAP HANA: Inside the sqlalchemy-hana Open-Source DialectpublishedA Devtoberfest 2026 data-track session (DAT-21) in which one of the maintainers of sqlalchemy-hana, the open-source SQLAlchemy dialect published in SAP's GitHub organisation, opens up what sits between Python and SAP HANASAP HANASAP’s relational database platform, which stores application data and executes SQL and SQLScript in the database, available on-premise and as the managed service SAP HANA Cloud.sap official, btp. It walks the five dialect classes that render statements, types, DDL, identifiers and sequences, and the HANA specifics they absorb: the FROM DUMMY a bare SELECT needs, a limit injected when only an offset is given, string compiled to NVARCHAR, and quoted case-sensitive identifiers against Python's lowercase. The rest covers schema migrations with Alembic on HANA's transactional DDL, the recently added async support and vector types, and that HANA Cloud and HANA 2 are supported while HANA 1 is not.Database connectors
Building your knowledge graph on SAP HANA CloudpublishedDevtoberfest 2026 session DAT-11, in which two enterprise architects explain what a knowledge graph is and then build one on SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp. The first half sets the join across three relational tables against an ontology of classes and predicates, the subject-predicate-object triple written as a turtle file, and a SPARQL query over it, and argues that the chain of relationships is what makes a recommendation traceable back to its reasons. The demo, taken from a Discovery Center mission, curates the ontology and the RDF files for an accounts receivable scenario in VS Code, ingests the triples into HANA Cloud with SQL and walks the resulting graph outward from a customer; that is the graph, spatial and document dataGraph, spatial and document dataStoring and querying data that is not plain rows, such as a network of relationships, a geometry or a JSON document, in the database that already holds the rows instead of in a separate store per model. Free-text search over entities is search; similarity over embeddings is retrieval-augmented generation.SAP only edge. It closes by separating three things that share the name: the HANA Cloud knowledge graph engine, SAP Knowledge Graph as the data, and the knowledge graph in SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp.Database connectors
Combining AI Agents with the power of SAP HANA embedded ML (part 1)publishedDevtoberfest 2026 session DAT-12, the first of two parts, in which Vitaliy RudnytskiyVitaliy Rudnytskiygave 1 talk, contributed to 6 entries does a data scientist's work against the embedded machine learning of SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp by talking to an agent. The session first takes an agent apart into its LLM, its tools, its memory and the loop between them, then stacks the Predictive Analysis Library under the hana-ml Python wrapper and that under the HANA AI toolkit, whose tools an agent calls from plain English in a notebook to preview a sales refunds table, split it into train and predict tables, run a time-series check and train an AutoML forecast, keeping what it decided in Markdown memory files. That is the agent toolingAgent toolingBuilding an agent into your own application — the tools it may call, the state it keeps between turns, and the framework it runs in. Distinct from MCP servers, which expose an application to somebody else's agent, and from agent guidance, which is knowledge handed to a coding agent.SAP and community, unassessed edge; the same toolkit is then started as an MCP server over stdio and over streamable HTTP and reached from a coding agent and from Joule Work's desktop, which is where the live demo partly fails and the failure is shown.Database connectors
Data Product Governance in SAP Business Data CloudpublishedA Devtoberfest 2026 data-track session (DAT-41) on data product governance in SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp, released as an MVP: every data product belongs to a domain, a consumer puts one in a cart and raises an access request with a purpose, a target location and acknowledged terms and conditions, and a data steward's approval becomes an access agreement recording who uses which data product where. The demo runs both sides in the BDC cockpit — domains, access management and data product management for the steward, catalog, cart and request for the consumer, with Databricks as the target workspace — and that is what the Cataloguing and lineageCataloguing and lineageFinding what data exists across the estate and what it promises — catalogs and data products, the contract a consumer can rely on, where a field came from, and what a column actually contains once you profile it. The question asked before modelling starts and again when somebody asks where a number came from.SAP and community, unassessed edge rests on. It also states the current limits: one default domain until custom domains and subdomains arrive, auto-approved requests for space copies, transports and intelligent content, stewards who cannot yet revoke an active agreement, and an install step still done by hand after approval.Cataloguing and lineage
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SAP BDC and AI: A Perfect MatchpublishedA Devtoberfest 2026 data-track session (DAT-22) in which Business Data Cloud's CTO sets out how SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp feeds SAP's business AI platform: data products whose primary persistence is an object store and whose semantics are kept with them, the one domain model that links a supplier in Ariba to a supplier in S/4HANA, and the SAP knowledge graph, a triple store running in SAP HANA Cloud and queried with SPARQL, that SAP JouleSAP JouleSAP's unified AI engagement layer across SAP applications: Joule Work is where a user expresses intent, Joule Assistants coordinate agents across business functions, and Joule Agents carry out the tasks, provisioned on BTP as a formation against SAP Cloud Identity Services.sap official, btp consults before answering. The live demo asks Joule for the available data products and the top ten open purchase orders, with the data product query agent compiling SQL over virtual tables and a space rendering a dashboard, which is the cataloguing side of this: a central registry, the Unified Customer Landscape, that every activated data product is registered in. The Q&A covers where the knowledge graph lives and what a customer may extend, base policies that turn into filter conditions on an agent's queries, and Joule StudioJoule StudioSAP’s managed development environment for building custom agents, applications and workflows from business intent, in six phases from intent and specification to deployment on an SAP-managed runtime.sap official, umbrella as the place to build your own agents and data products.Cataloguing and lineage
SAP BDC in Business AI Platform: Contextualize and ReasonpublishedA Devtoberfest 2026 session (DAT-31) that places SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp as the contextualise-and-reason pillar of the SAP Business AI Platform, between the build pillar of Joule Studio and Integration Suite and the govern pillar of AI Agent Hub. It covers data products described with open resource discovery and core schema notation metadata, a data product creation agent that assembles a derived data product for overdue billing documents from the billing document and customer products and shows its lineage and fields; the data products a line-of-business application brings being readable by Joule without a BDC subscription; and the SAP-managed knowledge graph that maps business entities and their relationships for agents, held as graph dataGraph, spatial and document dataStoring and querying data that is not plain rows, such as a network of relationships, a geometry or a JSON document, in the database that already holds the rows instead of in a separate store per model. Free-text search over entities is search; similarity over embeddings is retrieval-augmented generation.SAP only in the SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp knowledge graph engine as RDF triples queried with SPARQL. The closing demo has SAP JouleSAP JouleSAP's unified AI engagement layer across SAP applications: Joule Work is where a user expresses intent, Joule Assistants coordinate agents across business functions, and Joule Agents carry out the tasks, provisioned on BTP as a formation against SAP Cloud Identity Services.sap official, btp answer head-count and purchase-order questions, with the generated SQL passed through a data product query that adds the restriction policy defined for that user in cloud identity services, which is why the session stands for cataloguing and lineageCataloguing and lineageFinding what data exists across the estate and what it promises — catalogs and data products, the contract a consumer can rely on, where a field came from, and what a column actually contains once you profile it. The question asked before modelling starts and again when somebody asks where a number came from.SAP and community, unassessed as much as for the products it names.Cataloguing and lineage
SAP HANA Data Lake Files (HDLF) Basic FunctionalitiespublishedA Devtoberfest 2026 data-track session on SAP HANA data lake files, the managed object store inside SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp that is provisioned from HANA Cloud Central, priced per API call and per stored gigabyte, and reached with the same REST API whichever hyperscaler it runs on. Two product managers set up an instance with its IP allow list, client certificates and trusts, then upload, list, read and delete files over the WebHDFS REST API and the HDLFS command-line utility — the Object storageObject storageStoring application files as objects in a bucket or container backed by a cloud storage service. Connecting a file to a business record is the separate Attachments concern.SAP only half — and cover file versions with snapshots, access policies per file, and chunked upload with a server-side merge. They then link the instance to a HANA database and query a CSV file as a virtual table: SQL on files now runs through a file adapter in the database, while the older path through the data lake relational engine is deprecated.Database connectors
Strategy and Tool Updates on BW Modernization with SAP Business Data CloudpublishedDevtoberfest 2026 session DAT-13, in which a product manager for SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp sets out the revised BW modernisation strategy, now called optimise, modernise and innovate, and the three tools that carry it. The data product generator transfers BW InfoProviders into local table files in a dedicated BW inbound space of SAP DatasphereSAP DatasphereSAP's cloud data warehouse: spaces, modelled views and analytic models over data brought in or federated from source systems, with the business context carried along rather than rebuilt.sap official, btp, where a data product is still created by hand in the data sharing cockpit; the query template generator turns BW query metadata into an analytical model template in the HANA space; the BW migration assistant, planned to start in Q4 for BW NetWeaver, takes the data flows and transformations below them, and is shown on slides only. That is the loading a warehouseLoading a warehouseGetting data into an analytical store and keeping it current — connections to source systems, replication and the other integration tasks, import jobs and their lifecycle, and the monitoring that tells you a load failed before a report does. Distinct from replication, which is an application reading data that lives elsewhere as if it were local rather than a warehouse being filled.SAP and community, unassessed edge, and the demos cover the BW/4HANA cockpit, the ABAP program for the NetWeaver GUI, mass generation with semantics from the BW modeling tools, and the flattening operator for sharing data outside SAP.Cataloguing and lineage
Sat 17
Accelerating Your Analytics with Delta Table Replication into SAP HANA CloudpublishedStarting with QRC 04/2025, SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp can replicate a Delta Lake table from an external Delta Sharing source directly into a native HANA table, rather than only querying it live through a virtual table. The post walks through creating a remote subscription, running a chunk-based initial load, and setting up change data capture on a schedule or on demand, each with the SQL statements and monitoring views involved, plus the simpler virtual-table-toggling and HANA Cloud Central UI alternatives.Database connectors
Wed 14
SAP Datasphere Integration Patterns: Lessons Learned from Two Years of ImplementationspublishedTwo years of production SAP DatasphereSAP DatasphereSAP's cloud data warehouse: spaces, modelled views and analytic models over data brought in or federated from source systems, with the business context carried along rather than rebuilt.sap official, btp integrations across SAP and non-SAP sources, settling on Replication Flows over remote access for high-volume Finance analytics because remote queries added latency at query time, then tuning the copy with Datasphere-side partitioning, source-side CDS view optimisation and Cloud ConnectorCloud ConnectorSAP's on-premises agent that links SAP BTP applications to systems in a customer's own network, as a reverse invoke proxy that exposes only the systems and resources it is configured to allow.sap official, btp sizing. For file-based and Kafka sources, SAP Integration SuiteSAP Integration SuiteSAP's integration service on BTP: Cloud Integration for orchestration, API Management in front of it, and an MCP gateway that serves a managed API to agents.sap official, btp iFlows did work a direct connection could not — flattening nested JSON, PGP decryption and orchestrating the SAP Ariba extraction built on SAP's own BTP Procurement Data Extractor content.Analytic modelling
Sun 11
Accelerate agentic planning with trusted data productspublishedGoverned data products as the ground for AI planning in SAP Analytics CloudSAP Analytics CloudSAP's SaaS front end for analytics: business intelligence, planning and predictive in one product, and the place a Datasphere analytic model is meant to end up being read.sap official, btp: using a ready data product or building one in SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp, the cataloguing and lineageCataloguing and lineageFinding what data exists across the estate and what it promises — catalogs and data products, the contract a consumer can rely on, where a field came from, and what a column actually contains once you profile it. The question asked before modelling starts and again when somebody asks where a number came from.SAP and community, unassessed concern, then agentic AI automating planning tasks and producing insights on top. The abstract names the two products and the data product step and does not say which planning tasks the agents take over. A TechEd 2026 hands-on session (Thursday 29 October, Berlin), presented by Jie Deng, Maximilian Paul Gander and Richard Mooney, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Agent-to-agent in action: SAP and Adobe CX Enterprise Coworker at HenkelpublishedA customer story: SAP's data agents and SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp with Adobe CX Enterprise Coworker putting enterprise data in front of Henkel's marketing teams, with faster decisions as the stated result. The abstract names Business Data Cloud as the data side of an agent-to-agent setup and says nothing about what it does there or how the two agents talk; neither Adobe's product nor the data agents are atlas entries. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Ankur Jain, Ramalingam Ramani and Thomas HammerThomas Hammergave 5 talks, contributed to 1 entry, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Agentic memory: Knowledge graph engine and recall in SAP HANA CloudpublishedThe knowledge graph engine in SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp as an agent's memory: what the engine, the graph side of graph, spatial and document dataGraph, spatial and document dataStoring and querying data that is not plain rows, such as a network of relationships, a geometry or a JSON document, in the database that already holds the rows instead of in a separate store per model. Free-text search over entities is search; similarity over embeddings is retrieval-augmented generation.SAP only, does in an agentic workflow, how an agent keeps what it learns there, the state agent toolingAgent toolingBuilding an agent into your own application — the tools it may call, the state it keeps between turns, and the framework it runs in. Distinct from MCP servers, which expose an application to somebody else's agent, and from agent guidance, which is knowledge handed to a coding agent.SAP and community, unassessed holds between turns, and the SAP AI CoreSAP AI CoreSAP's AI service on BTP: the runtime for AI assets, and through the Generative AI Hub inside it the access to foundation models, the orchestration service with its templating, masking, filtering and grounding modules, the Prompt Registry and Document Grounding.sap official, btp integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA263 on Wednesday 28 October is a two-hour hands-on on the same engine with a different cast. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Markus FathMarkus Fathgave 3 talks, contributed to 1 entry and Shraddha Shetty, written here from SAP's abstract; the recording is not yet published.Database connectors
Agentic SAP BW modernization: Your path to SAP Business Data CloudpublishedStrategies for moving from SAP Business Warehouse to SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp, with dedicated migration tools and AI agents to shorten the move while keeping what was built in SAP BW, the platform migrationPlatform migrationMoving an application, integration or database from one platform to another: assessing what exists, converting what tooling supports, and adapting what cannot carry over. Language-level compatibility is a separate concern from moving the platform around an application.SAP and community, unassessed concern for a warehouse. A Fresenius speaker co-presents; the abstract names neither the migration tools nor the agents. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Constantin Herbst, Hannes Keil and Sandy Tran, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
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AI-enhanced analytics with SAP Business AI PlatformpublishedSAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp data products joined to an ontology, a semantic layer the abstract says is supported by the Model Context Protocol, and read from Joule Work (SAP JouleSAP JouleSAP's unified AI engagement layer across SAP applications: Joule Work is where a user expresses intent, Joule Assistants coordinate agents across business functions, and Joule Agents carry out the tasks, provisioned on BTP as a formation against SAP Cloud Identity Services.sap official, btp) and SAP Analytics CloudSAP Analytics CloudSAP's SaaS front end for analytics: business intelligence, planning and predictive in one product, and the place a Datasphere analytic model is meant to end up being read.sap official, btp: that is the architecture SAP's abstract states for its AI-enabled analytics. The abstract names the parts and not how the semantic layer is modelled or what an analytics developer builds against. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Hacen Benkhedah, Joaquin Recio HuertasJoaquin Recio Huertasgave 1 talk, contributed to 3 entries, Matilda Hyka and Oliver Huth, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Analyze and optimize ABAP Cloud model apps built on core data servicespublishedPerformance anti-patterns in data models built with ABAP CDSABAP CDSThe modelling layer of ABAP Cloud — view entities, projections and annotations defined above database tables, delivered with the platform rather than installed.sap official, abap under ABAP Cloud applications, and the tools that find them: the abstract names ABAP cross trace, the SQL analyzer (PlanViz) in Visual Studio Code and the SAP HANASAP HANASAP’s relational database platform, which stores application data and executes SQL and SQLScript in the database, available on-premise and as the managed service SAP HANA Cloud.sap official, btp database explorer as what the session uses to follow a bottleneck from the application to the database. The anti-patterns are taken from real business applications, which is where the data modellingData modellingDefining the shape of data before anything serves it: entities and their types, how they relate, and the projections and views that services and applications consume.SAP and community, unassessed edge holds; which ones are shown is not in the abstract. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Ingo Braeuninger, Robert Werlich, Steffen Siegmund and Thomas Fiedler, written here from SAP's abstract; the recording is not yet published.Database connectors
Architecting your data foundation for the Autonomous EnterprisepublishedBuilding a data foundation for what SAP calls the Autonomous Enterprise on SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp: a business data fabric that unifies trusted data, business context and governed data products across an organisation's systems, so that Joule Agents in SAP JouleSAP JouleSAP's unified AI engagement layer across SAP applications: Joule Work is where a user expresses intent, Joule Assistants coordinate agents across business functions, and Joule Agents carry out the tasks, provisioned on BTP as a formation against SAP Cloud Identity Services.sap official, btp have the context their answers rest on. The abstract states Business Data Cloud's role and no product, data product or integration beneath it. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Mudit Mittal and Prakash Nanduri, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Build agentic SAP extensions with Google CloudpublishedGoogle Cloud's architectures for agentic AI apps on SAP with a clean core: SAP Business AI Platform, SAP S/4HANA and SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp joined with BigQuery, Gemini and Google's Agent Development Kit. The abstract names zero-copy data agents, developer API workflows and ABAP extensions for AI integration, the last of which is the ExtensibilityExtensibilityLetting a customer change delivered behaviour without modifying it — key-user fields and logic, developer extensions, and the released extension points that make either safe across an upgrade.SAP and community, unassessed concern; Business Data Cloud is the one atlas entry it names, and how any piece connects to another is not stated. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Ekaterina Kruse, Ian Moria and Stany Winkler, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Build AI agents and applications natively on SAP HANA CloudpublishedSAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp as the base for agentic applications on SAP Business AI Platform: the session goes through CAP, the SAP HANA Cloud vector engine and SAP AI CoreSAP AI CoreSAP's AI service on BTP: the runtime for AI assets, and through the Generative AI Hub inside it the access to foundation models, the orchestration service with its templating, masking, filtering and grounding modules, the Prompt Registry and Document Grounding.sap official, btp, with architecture patterns and lessons learned from building AI-supported applications. SAP's abstract names the three parts of that stack and the vector engine as the database's feature in it, and describes none of the patterns. A TechEd 2026 session (Wednesday 28 October, Berlin; also DA113V, virtual), presented by Christoph Morgen and Shraddha Shetty, written here from SAP's abstract; the recording is not yet published.Database connectors
Build AI agents on SAP and non-SAP data and context in an open lakehousepublishedSAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp as an open lakehouse: the abstract states that it holds third-party data beside SAP data and its semantic context on Apache Iceberg and Apache Polaris, that architects and developers publish governed data products and ontologies from it, which is the cataloguing and lineageCataloguing and lineageFinding what data exists across the estate and what it promises — catalogs and data products, the contract a consumer can rely on, where a field came from, and what a column actually contains once you profile it. The question asked before modelling starts and again when somebody asks where a number came from.SAP and community, unassessed concern, and that agents built on them for SAP JouleSAP JouleSAP's unified AI engagement layer across SAP applications: Joule Work is where a user expresses intent, Joule Assistants coordinate agents across business functions, and Joule Agents carry out the tasks, provisioned on BTP as a formation against SAP Cloud Identity Services.sap official, btp can be reached from outside over A2A. How a data product is defined, and what the ontology layer adds to it, is not in the abstract. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Rahim Bhojani and Sivakumar N, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Build and govern data products in the Joule Studio solutionpublishedData products in SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp are built and deployed from Joule Studio, in SAP's abstract, with no-code, AI-assisted tools that combine SAP and third-party data, and are then governed, catalogued and shared for analytics and AI, the cataloguing and lineageCataloguing and lineageFinding what data exists across the estate and what it promises — catalogs and data products, the contract a consumer can rely on, where a field came from, and what a column actually contains once you profile it. The question asked before modelling starts and again when somebody asks where a number came from.SAP and community, unassessed concern on the product side. The abstract names the steps and not what a data product built this way contains or how Joule Studio reaches the data. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Arne Ludwig, Aruna Kashinath, Rene Kirchhoff and Sandy Tran, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Build real-time, unified data products for agentic AI with SAP ReltiopublishedSAP Reltio inside SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp unifies master data across SAP and third-party systems and complements SAP Master Data Governance, in SAP's abstract, with Customer 360 as the named scenario and real-time data products for applications, analytics and AI as the output. The abstract states Reltio's place in the product and nothing about how the unification or the data products work. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Arne Ludwig, Rene Kirchhoff, Richard Mooney and Sriraj Rajaram, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Build your custom knowledge layer with SAP HANA CloudpublishedSAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp's multi-model engines, the knowledge graph engine among them, as the base for a custom knowledge layer over the enterprise's data, with SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp as the product that includes the database. Graph, spatial and document dataGraph, spatial and document dataStoring and querying data that is not plain rows, such as a network of relationships, a geometry or a JSON document, in the database that already holds the rows instead of in a separate store per model. Free-text search over entities is search; similarity over embeddings is retrieval-augmented generation.SAP only put to an AI use; the abstract names the graph engine and not the query language or the vector side. A TechEd 2026 session (Wednesday 28 October, Berlin; also ST108V, virtual), presented by Niklas Siemer and Sebastian SchmidtSebastian Schmidtgave 1 talk, written here from SAP's abstract; the recording is not yet published.Database connectors
Building agentic applications with SAP HANA CloudpublishedA CAP application extended with semantic search and agent features on top of SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp's vector engine and SAP AI CoreSAP AI CoreSAP's AI service on BTP: the runtime for AI assets, and through the Generative AI Hub inside it the access to foundation models, the orchestration service with its templating, masking, filtering and grounding modules, the Prompt Registry and Document Grounding.sap official, btp, built in a hands-on workshop. The abstract names the parts, CAP, the vector engine and AI Core, and the two additions: semantic search, the retrieval half of retrieval-augmented generationRetrieval-augmented generationGrounding a model's answer in data retrieved at question time: text split into chunks, each chunk embedded as a vector, and the chunks nearest to the question placed into the prompt. Semantic search is the same retrieval with a person reading the matches, and fine-tuning changes the model's weights, not its input.SAP and community, unassessed, and LLM-supported agent capabilities inside the application, which is agent toolingAgent toolingBuilding an agent into your own application — the tools it may call, the state it keeps between turns, and the framework it runs in. Distinct from MCP servers, which expose an application to somebody else's agent, and from agent guidance, which is knowledge handed to a coding agent.SAP and community, unassessed. Which embedding model, which CAP runtime and how the agent calls its tools are not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hui Li, Ritty Joseph, Shraddha Shetty and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.Database connectors
Enhancing agentic AI with trusted business datapublishedHow SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp gives AI applications and agents governed access to business data and its context, and how zero-copy architectures let AI read enterprise data with less of it moved, which is the data federationData federationReading data that lives in another system as if it were local — by federating the query, by copying the rows, or by caching what was read. Three different answers to one question, and the choice is about how stale you can afford to be.SAP and community, narrow by design concern. The abstract names the product and the architecture and states no mechanism or product the zero-copy path runs over. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA100V, virtual), presented by Aruna Kashinath, Hannes Keil and San Tran, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Enriching AI models with SAP AI Core in SAP Business Data CloudpublishedThe integration between SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp and SAP AI CoreSAP AI CoreSAP's AI service on BTP: the runtime for AI assets, and through the Generative AI Hub inside it the access to foundation models, the orchestration service with its templating, masking, filtering and grounding modules, the Prompt Registry and Document Grounding.sap official, btp, through which data products with their semantics feed AI models for benchmarking, custom AI development and agentic analytics and applications. The abstract names the two products and the three uses and states nothing about how the data reaches AI Core or what the integration consists of. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by San Tran and Sandy Tran, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Flexible analytics at speed: Calculation views in SAP Business Data CloudpublishedCalculation views in SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp, the reusable analytic modellingAnalytic modellingDefining what an analytical client actually reads — the multi-dimensional layer between stored rows and a chart: measures, dimensions, hierarchies, filters and parameters, and the associations somebody navigates them by. Distinct from analytical queries, which is a service answering the request a chart sends, and from loading a warehouse, which fills the tables underneath it.SAP and community, unassessed blocks built in its graphical modelling environment, with three newer parts the abstract names: AI-assisted modelling, refactoring, and advanced materialisation, and the way the views sit inside SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp. What a materialisation is chosen on, and what the AI assistance generates, is not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hansika Colomboge Dona, Jan Zwickel, Niklas Siemer and Thomas HammerThomas Hammergave 5 talks, contributed to 1 entry, written here from SAP's abstract; the recording is not yet published.Database connectors
Get hands on with tabular AI and forecasting models in SAP HANA CloudpublishedPrediction and forecasting as predictive modelsPredictive modelsTraining, deploying and calling a model that predicts a value from tabular business data: a classification, a regression, a forecast. Distinct from LLM integration, where a language model generates text, even where both run on the same service.SAP only inside SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp, worked through hands-on: tabular AI models such as SAP-RPT-1 for on-the-fly predictions, time series foundation models for ad hoc forecasts, and the AutoML in the predictive analysis library. The abstract names the model kinds and the library and does not say how a model is called from SQL or from an application. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Markus FathMarkus Fathgave 3 talks, contributed to 1 entry, Ritty Joseph and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.Database connectors
Knowledge graph and agent memory: Build an agent that rememberspublishedThe knowledge graph engine in SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp as an agent's memory: what the engine, the graph side of graph, spatial and document dataGraph, spatial and document dataStoring and querying data that is not plain rows, such as a network of relationships, a geometry or a JSON document, in the database that already holds the rows instead of in a separate store per model. Free-text search over entities is search; similarity over embeddings is retrieval-augmented generation.SAP only, does in an agentic workflow, how an agent keeps what it learns there, the state agent toolingAgent toolingBuilding an agent into your own application — the tools it may call, the state it keeps between turns, and the framework it runs in. Distinct from MCP servers, which expose an application to somebody else's agent, and from agent guidance, which is knowledge handed to a coding agent.SAP and community, unassessed holds between turns, and the SAP AI CoreSAP AI CoreSAP's AI service on BTP: the runtime for AI assets, and through the Generative AI Hub inside it the access to foundation models, the orchestration service with its templating, masking, filtering and grounding modules, the Prompt Registry and Document Grounding.sap official, btp integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA205 on Tuesday 27 October is the 45-minute talk on the same engine, with a near-identical abstract and a different cast. A two-hour hands-on TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Jan Zwickel, Markus FathMarkus Fathgave 3 talks, contributed to 1 entry and Thomas HammerThomas Hammergave 5 talks, contributed to 1 entry, written here from SAP's abstract; the recording is not yet published.Database connectors
Modernize your database landscape with SAP HANA CloudpublishedWhy to move a database estate to SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp, and the migration tools and services for doing so, which is the platform migrationPlatform migrationMoving an application, integration or database from one platform to another: assessing what exists, converting what tooling supports, and adapting what cannot carry over. Language-level compatibility is a separate concern from moving the platform around an application.SAP and community, unassessed concern. SAP's abstract is one sentence and names none of the tools. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Niklas Siemer and Roman Belosludtsev, written here from SAP's abstract; the recording is not yet published.Database connectors
Reimagining master data as the foundation for enterprise AIpublishedMaster data as the foundation for AI: SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp unifying, governing and delivering master data as reusable data products, the cataloguing and lineageCataloguing and lineageFinding what data exists across the estate and what it promises — catalogs and data products, the contract a consumer can rely on, where a field came from, and what a column actually contains once you profile it. The question asked before modelling starts and again when somebody asks where a number came from.SAP and community, unassessed concern, for analytics, autonomous applications and AI that share one business context. The abstract names no component of Business Data Cloud and no master data product, and Reltio, the co-presenter's company, is not named in it. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Arne Ludwig and Sriraj Rajaram, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Road map for SAP HANA Cloud: What’s next for the AI databasepublishedSAP's road map for SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp, which the abstract places as a core component of SAP Business AI Platform within SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp. The abstract promises a firsthand look at what is next for the database and names no feature, release or date, so the two edges rest on the products it names and nothing more. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Niklas Siemer and Thomas HammerThomas Hammergave 5 talks, contributed to 1 entry, written here from SAP's abstract; the recording is not yet published.Database connectors
SAP HANA Cloud advisors and automationpublishedSAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp's advisors and the tasks they hand off: the elastic compute node, the partition, index and native storage extension advisors that produce recommendations for performance and efficiency, and SAP Automation PilotSAP Automation PilotA BTP service that runs operations commands: catalogues SAP ships for BTP DevOps scenarios and commands a team composes, started by hand, on a schedule or by an event.sap official, btp as the service that runs the resulting tasks, which is operations automationOperations automationActing on a running landscape without someone at the console: an alert routed to where a person or a system will pick it up, and a command that troubleshoots or remediates when it arrives. Logging, telemetry and health checks observe; this acts on what they report. Running an application's own recurring work is job scheduling.SAP only on the database. The abstract lists the features and stops there, so what each advisor recommends and how a recommendation becomes an Automation Pilot command is not stated. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Hansika Colomboge Dona, Hui Li, Javier Martin and Roman Belosludtsev, written here from SAP's abstract; the recording is not yet published.Database connectors
SAP HANA Cloud as a self-managed database: Advisors and automationpublishedSAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp advisors generate recommendations for database administration, aimed at system performance and efficiency, and SAP Automation PilotSAP Automation PilotA BTP service that runs operations commands: catalogues SAP ships for BTP DevOps scenarios and commands a team composes, started by hand, on a schedule or by an event.sap official, btp runs the manual and administrative tasks around the database as automated processes, which is the operations automationOperations automationActing on a running landscape without someone at the console: an alert routed to where a person or a system will pick it up, and a command that troubleshoots or remediates when it arrives. Logging, telemetry and health checks observe; this acts on what they report. Running an application's own recurring work is job scheduling.SAP only concern on the database side. SAP's abstract names the two services and claims reduced operational overhead; which advisors exist and which tasks the automation covers are not said. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Javier Martin and Roman Belosludtsev, written here from SAP's abstract; the recording is not yet published.Database connectors
SAP HANA Cloud as the AI database for SAP Business Data CloudpublishedSAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp as the AI database at the centre of SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp: the strategy behind its AI-first direction, and a Carl Zeiss speaker on how it runs in production today. The abstract names the two products and the customer and no feature, workload or figure, so the edges rest on the products as its subject. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Kush Kashyap and Thomas HammerThomas Hammergave 5 talks, contributed to 1 entry, written here from SAP's abstract; the recording is not yet published.Database connectors
SAP HANA Cloud: The data foundation for contextualizing and reasoningpublishedWhere SAP is taking SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp, described in the abstract as the anchor of SAP's data strategy and a unified layer to store, contextualise and reason across a business, and what that means for a data platform decision. The abstract is a direction statement and names no feature, release or date, so the one edge rests on the product itself. A TechEd 2026 session (Tuesday 27 October, Berlin; also ST106V, virtual), presented by Matthew Zenus and Stefan Baeuerle, written here from SAP's abstract; the recording is not yet published.Database connectors
Share data products with zero copies using SAP Business Data Cloud ConnectpublishedSAP Business Data Cloud Connect shares data products between SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp and third-party platforms with zero-copy access, in both directions and for metadata as well as data, in SAP's abstract, with the business context kept on the way. The abstract names the product and its two properties, bidirectional and zero-copy, and does not say which third-party platforms or which protocol carry the sharing. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Babacar Toure, Hannes Keil, Maria Uruena and Neetha Pucknat, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Stop guessing, start counting: How generative AI fixed an inventory messpublishedAn inventory-counting application a business built on SAP Business AI Platform with SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp and generative AI, to replace recount lists kept by gut feel across SAP ERP Central Component, SAP S/4HANA and Microsoft Excel; the talk promises the app, its architecture and what went wrong. The generative AI part is LLM integrationLLM integrationCalling a language model from application code with the tenant, destination and credential handling already solved instead using an SDK call with a hand-rolled key.SAP and community, narrow by design from application code; the abstract names HANA Cloud and generative AI as the two building blocks and says nothing about how either is used. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Ranjeet Kumar, written here from SAP's abstract; the recording is not yet published.Database connectors
Talking to your database: The new data exploration tools in SAP HANA CloudpublishedSAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp's new data exploration tools take a business question in plain language, find the right database objects and run the query, with no data model and no SQL written beforehand, shown live on a standard business data set. SAP's abstract says the session covers how the tools work, what they need and where they hit their limits, and states none of the three. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Anna Hartmann, written here from SAP's abstract; the recording is not yet published.Database connectors
The future of the SAP Business Data Cloud solution: Data and AI road mappublishedThe road map for SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp as the data foundation of SAP Business AI Platform: upcoming work in data products, AI models and agentic analytics, framed as activating business context and running autonomous processes. A road map session, so nothing in it ships yet, and the abstract names the three areas and no item within them; a Fresenius speaker co-presents. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA802V, virtual), presented by Constantin Herbst and Prakash Nanduri, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
The next evolution of SAP Business Data Cloud with Dremio and SAP ReltiopublishedSAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp's data fabric with two additions SAP's abstract names, Dremio and SAP Reltio: data products, open catalogues, unified master data and business semantics as the pieces of a data foundation for analytics and agentic AI. The abstract names the two products and not what each takes over in the fabric. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Florian Schmidt, Rene Kirchhoff and Sriraj Rajaram, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Transform business data into AI-supported insightspublishedBusiness metrics turned into insights, narratives and recommendations by SAP JouleSAP JouleSAP's unified AI engagement layer across SAP applications: Joule Work is where a user expresses intent, Joule Assistants coordinate agents across business functions, and Joule Agents carry out the tasks, provisioned on BTP as a formation against SAP Cloud Identity Services.sap official, btp's agents, with People Intelligence, the SAP Snowflake solution extension for SAP Business Data Cloud and SAP Analytics CloudSAP Analytics CloudSAP's SaaS front end for analytics: business intelligence, planning and predictive in one product, and the place a Datasphere analytic model is meant to end up being read.sap official, btp connected in SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp. The abstract names what is connected and what comes out, and does not say what the exercise builds or where the Snowflake extension sits in it; People Intelligence and the extension are not atlas entries. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Babacar Toure, Maximilian Paul Gander, Neetha Pucknat and San Tran, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Under the hood of the Delta Sharing protocolpublishedHow a Delta Sharing server, dsserv, implements the open-source Delta Sharing protocol for zero-copy sharing: Delta tables ingested, governed and streamed live from local S3-compatible storage into cloud consumers such as DatabricksDatabricksA unified data and AI platform. sap-bdc-mcp-server creates the Delta shares it registers with SAP Business Data Cloud in a Databricks workspace.. Neither the server nor the protocol is an atlas entry; the edges are to data federationData federationReading data that lives in another system as if it were local — by federating the query, by copying the rows, or by caching what was read. Three different answers to one question, and the choice is about how stale you can afford to be.SAP and community, narrow by design, the concern zero-copy sharing answers, and to object storageObject storageStoring application files as objects in a bucket or container backed by a cloud storage service. Connecting a file to a business record is the separate Attachments concern.SAP only, where the tables sit, and the abstract names no SAP product. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Philipp Nell, written here from SAP's abstract; the recording is not yet published.Data federation
Unlock predictive and generative AI with your data in SAP HANA CloudpublishedThe AI features SAP lists for SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp: the function libraries for tabular prediction and forecasting, where predictive modelsPredictive modelsTraining, deploying and calling a model that predicts a value from tabular business data: a classification, a regression, a forecast. Distinct from LLM integration, where a language model generates text, even where both run on the same service.SAP only run inside the database, the vector engine, the knowledge graph engine, which is graph, spatial and document dataGraph, spatial and document dataStoring and querying data that is not plain rows, such as a network of relationships, a geometry or a JSON document, in the database that already holds the rows instead of in a separate store per model. Free-text search over entities is search; similarity over embeddings is retrieval-augmented generation.SAP only put to generative use, and SQL to LLM calls. The abstract names the engines and the use cases they are meant for and gives no detail of any one of them. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA204V, virtual), presented by Christoph Morgen and Javier Martin, written here from SAP's abstract; the recording is not yet published.Database connectors
What’s next for agentic analytics and planning in SAP Business Data CloudpublishedWhat is next for agentic analytics and planning in SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp: SAP JouleSAP JouleSAP's unified AI engagement layer across SAP applications: Joule Work is where a user expresses intent, Joule Assistants coordinate agents across business functions, and Joule Agents carry out the tasks, provisioned on BTP as a formation against SAP Cloud Identity Services.sap official, btp's agents automating insight delivery, analysis, narrative generation and modelling tasks. A road map session; the abstract names the four kinds of task and no agent or date. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA806V, virtual), presented by Kristian Ruemmelin, written here from SAP's abstract; the recording is not yet published.Cataloguing and lineage
Mon 5
Integrating Using Google Cloud Storage Adapter (GCP Authentication & adapter config)publishedWalks through connecting SAP Integration SuiteSAP Integration SuiteSAP's integration service on BTP: Cloud Integration for orchestration, API Management in front of it, and an MCP gateway that serves a managed API to agents.sap official, btp's Google Cloud Storage adapter to a bucket: creating a GCP service account with the Storage Object Admin role, generating its JSON or P12 key, converting it into a key-pair alias, and using that alias and the service account email in the adapter's authentication. It covers configuring the receiver adapter's upload operation (directory, object name, content type, and override, ignore or fail handling for an existing file) and the sender adapter's read, including post-processing to archive, delete or keep the object after an iFlow fetches it.Object storage
Wed 23
Building an SAP BTP Agent Architecture from Scratch: Python + CAP + HANApublishedA first-person build log of a Flask orchestrator on Cloud Foundry that reduces a question to keywords, searches a Node.js service's Documents entity, and passes what it finds to Claude for a grounded answer. Getting there means learning that HANA's fuzzy
.search() matches one word but not a full sentence, fixed by splitting the query into terms and merging the per-term hits, and that provisioning SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp hits a database-level free-tier quota rather than an HDI-container one, with a stopped instance needing to be resumed first. It also covers @sap/cds-dk@sap/cds-dkThe command line client and development toolkit for CAP projects, with the commands cds build, cds deploy, cds watch and cds add among them.sap official, cap needing to sit in dependencies rather than devDependencies, since Cloud Foundry's buildpack skips the latter, before cds deploy --to hana can run as part of the push.SearchTue 15
Explore your Hyperscaler data with SAP Business Data CloudpublishedSAP's map of the ways data held on hyperscaler and partner platforms is joined with SAP data in SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp, with a sub-page each for AWS, Azure, Google Cloud, DatabricksDatabricksA unified data and AI platform. sap-bdc-mcp-server creates the Delta shares it registers with SAP Business Data Cloud in a Databricks workspace. and Snowflake. It sets four modes side by side: BDC Connect shares data products in both directions over the Delta Sharing protocol from the object store layer, while in the SAP DatasphereSAP DatasphereSAP's cloud data warehouse: spaces, modelled views and analytic models over data brought in or federated from source systems, with the business context carried along rather than rebuilt.sap official, btp layer federation reads remote tables in place, Replication Flows copy SAP data out to stores such as Amazon S3 or Google BigQuery, and Data Flows import files and transform them into Datasphere tables, the last three being the ground loading a warehouseLoading a warehouseGetting data into an analytical store and keeping it current — connections to source systems, replication and the other integration tasks, import jobs and their lifecycle, and the monitoring that tells you a load failed before a report does. Distinct from replication, which is an application reading data that lives elsewhere as if it were local rather than a warehouse being filled.SAP and community, unassessed covers. The Snowflake and BigQuery connectors are dated to 2026 releases, and a closing page lists what slows federation, from source and tenant in different regions to queries that do not filter and aggregate at the source.Cataloguing and lineage
Medallion Reference Architecture for Big Data Processing in SAP HANA CloudpublishedSAP's medallion layout for SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp: structured, semi-structured and unstructured data lands raw in HANA Cloud, data lake files as the bronze layer, is cleansed into a common structure in silver, held in data lake files or the HANA database, and is curated and read-optimised in gold, from where it can also be exposed as a Delta Share. The staged path from raw to consumable is the ground loading a warehouseLoading a warehouseGetting data into an analytical store and keeping it current — connections to source systems, replication and the other integration tasks, import jobs and their lifecycle, and the monitoring that tells you a load failed before a report does. Distinct from replication, which is an application reading data that lives elsewhere as if it were local rather than a warehouse being filled.SAP and community, unassessed covers, with Spark jobs and SAP DatasphereSAP DatasphereSAP's cloud data warehouse: spaces, modelled views and analytic models over data brought in or federated from source systems, with the business context carried along rather than rebuilt.sap official, btp data flows named as ways to move data between layers and SAP Analytics CloudSAP Analytics CloudSAP's SaaS front end for analytics: business intelligence, planning and predictive in one product, and the place a Datasphere analytic model is meant to end up being read.sap official, btp among the consumers of gold. It leaves the ingestion method open, to be chosen by source, freshness and performance, and names no pipeline or schedule beyond that.Database connectors
SAP HANA Cloud as an Esri GeodatabasepublishedSAP's design for running an Esri ArcGIS Enterprise geodatabase inside SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp, so that geometries and SAP business data sit in one database and are joined in a HANA calculation view, which is the spatial part of graph, spatial and document dataGraph, spatial and document dataStoring and querying data that is not plain rows, such as a network of relationships, a geometry or a JSON document, in the database that already holds the rows instead of in a separate store per model. Free-text search over entities is search; similarity over embeddings is retrieval-augmented generation.SAP only. It traces three personas: an analyst in ArcGIS Pro building query layers over that view, a developer whose CAP@sap/cdsThe CAP Node.js runtime, which compiles the CDS model, serves the services declared in it, answers generic requests before any handler runs, and loads every cds-plugin.sap official, cap application models spatial types such as ST_Point in CDS, and an analyst using a Fiori app on top of such an application. The deployment advice stops at placement: ArcGIS Server and HANA Cloud go in the same region and availability zone, because Esri's certified architectures allow under 5 milliseconds of network latency between them.Graph, spatial and document data
Transforming Enterprise Data Strategy with SAP Business Data CloudpublishedSAP's layered picture of SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp, from lake storage and compute up to a knowledge core and agents, with eight sub-pages that each work one part through. The data products page is the cataloguing and lineageCataloguing and lineageFinding what data exists across the estate and what it promises — catalogs and data products, the contract a consumer can rely on, where a field came from, and what a column actually contains once you profile it. The question asked before modelling starts and again when somebody asks where a number came from.SAP and community, unassessed part: datasets described by Open Resource Discovery metadata, listed in the BDC catalog and shared over Delta Sharing to SAP Databricks and SAP HANA CloudSAP HANA CloudThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp, with SAP DatasphereSAP DatasphereSAP's cloud data warehouse: spaces, modelled views and analytic models over data brought in or federated from source systems, with the business context carried along rather than rebuilt.sap official, btp as a consumer on the intelligent content page; other pages install intelligent content, bring SAP BW data in through the Data Product Generator, provision groups by SCIM from Cloud Identity ServicesCloud Identity ServicesIdentity Authentication and Identity Provisioning as one tenant: the login, the user store or the federation to a corporate identity provider, and the provisioning of users into whatever sits behind it.sap official, btp into SAP Databricks, which is identity provisioningIdentity provisioningGetting users, groups and role assignments into every system that needs them, and out again when a person leaves, through provisioning jobs or SCIM APIs. Authentication answers who is calling one request; provisioning decides whether the user exists in that system at all.SAP only, and train predictive modelsPredictive modelsTraining, deploying and calling a model that predicts a value from tabular business data: a classification, a regression, a forecast. Distinct from LLM integration, where a language model generates text, even where both run on the same service.SAP only in SAP Databricks that SAP AI CoreSAP AI CoreSAP's AI service on BTP: the runtime for AI assets, and through the Generative AI Hub inside it the access to foundation models, the orchestration service with its templating, masking, filtering and grounding modules, the Prompt Registry and Document Grounding.sap official, btp then serves for batch and real-time scoring. The main page states direction more than mechanism, and the BW page marks SQL Share for derived and OData for analytical data products as to be available.Cataloguing and lineage
Tue 8
[BTP HANA Cloud Database] : How to access HANA Cloud Database & HDI Container in BTPpublishedGetting at the database your application already deployed to, which sounds trivial until the HDI container is the only thing that has credentials for it. Guidance for the case where the account is already configured and the question is only how to look inside.Database connectors
2024/01最新版！Productivity Toolsを使ったCAPバックエンド開発②~HANA Cloud編~publishedIn Japanese, and the second of a pair — database connection through to calling the API from outside, with authorisation in between. The author dates the screenshots explicitly and warns that the UI may have moved since, which is the right disclaimer for a click-through guide.Database connectors
Building a CAP App with Fiori Integration – Part 1: Environment & HANA Cloud SetuppublishedA trial account taken from nothing to a CAPM project with a HANA Cloud instance behind it. Everything here is prerequisites, which the author says outright — the application is in the parts that follow.Database connectors
Configure an SAP CAP Application to Connect to an SAP HANA Cloud Database in Another Global Account or SubaccountpublishedThe case the tooling does not cover: the database is in a different global account, so there is no HDI container to bind and
cds deploy cannot do its usual job. Written for exactly that, and it says so in the subtitle — without HDI.Database connectorsShow 21 more
Create a CAP Application with SAP HANA Cloud from Scratch and Deploy to Cloud FoundrypublishedThe whole lifecycle in one post rather than a series — model, service, HANA binding, build, deploy. Useful as a single reference for the order things have to happen in, which is the part that is easy to get wrong when it is spread over six posts.Database connectors
Deploying CAP services with the in-memory SQLite databasepublishedIn-memory, deployed to Cloud Foundry — so the data is gone on restart, on purpose. For a service whose datastore does not need to survive anything, which is a narrower case than it sounds and a real one.Database connectors
Distributed Resiliency of SAP CAP applications using SAP HANA Cloud (Multi-Zone Replication)publishedResilience defined the way an operator would — failures happen in a complex landscape and should go unnoticed by the user — and then what multi-zone replication on HANA Cloud means for the CAP application in front of it.Database connectors
Extend SAP SuccessFactors on SAP BTP with CAP - Deploy to SAP HANA CloudpublishedThe deployment instalment of the author's SuccessFactors extension series — the project already exists and the imported service is already modelled, so this is only the move onto HANA Cloud. Depends on the two posts before it and says so.Database connectors
Extend Upload Set to Fiori Elements and utilize Document Management ServicepublishedWritten two months before there was an official plugin, and the author has left the record of that in the page: an update dated 2024-04-04 noting the CAP team released @cap-js/attachments@cap-js/attachmentsAn official CAP Node.js plugin for attachment handling, with local database storage and AWS S3, Azure Blob or GCP Object Store integration.sap official, cap, and another dated 2024-05-21 saying they tested it and wrote up the Object Store variant separately. The hand-built version underneath is still the answer when the plugin's storage choices do not fit.Attachments
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-3]publishedThe cloud database appears: a HANA Cloud instance created on BTP and mapped to a Cloud Foundry space. No application code — this is the part where the platform has to be right before the next part can connect to it.Database connectors
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-4]publishedThe switch from SQLite to HANA and the first deploy of the back end to Cloud Foundry — the point in the series where the persistence stops being a file and the build starts producing HDI artifacts.Database connectors
How to create an API to run a HANA Cloud Stored Procedure in Cloud FoundrypublishedReaching past CDS to the database's own machinery — built-in algorithms, SQLScript procedures and functions — and putting an API in front of them. Long, and it is the case where the model is not where the logic belongs.Database connectors
Hybrid testing using PostgreSQL on SAP BTP, hyperscaler optionpublishedA short note rather than a guide — the author says they came across the feature reading someone else's post on PostgreSQLPostgreSQLA relational database. For CAP it is the production database when the answer is not HANA, reached through an adapter that translates CDS queries into its SQL. with Kyma. Hybrid testing against a real PostgreSQL instance, which until then people assumed meant HANA.Database connectors
Lets Deep dive into CAPM and HANA Cloud --> HANACappublishedShort, and framed as what the author does day to day on BTP rather than as a tutorial: where CAPM meets HANA Cloud and which pieces have to agree.Database connectors
Part 1: Creating and Deploying a SAP CAP Application with SAP HANA on SAP BTP (Cloud Foundry)publishedOpens with the observation the whole series rests on — CAP is usually demonstrated locally, and the interesting part starts when it is deployed. Part one of the run that continues into PostgreSQLPostgreSQLA relational database. For CAP it is the production database when the answer is not HANA, reached through an adapter that translates CDS queries into its SQL. and Work Zone.Database connectors
Run and Deploy SAP CAP (Java) with PostgreSQL on SAP BTP Cloud FoundrypublishedSuperseded by its own author: the post now opens with a notice that @sap/cds@sap/cdsThe CAP Node.js runtime, which compiles the CDS model, serves the services declared in it, answers generic requests before any handler runs, and loads every cds-plugin.sap official, cap 7.0.0 brought native PostgreSQLPostgreSQLA relational database. For CAP it is the production database when the answer is not HANA, reached through an adapter that translates CDS queries into its SQL. support and that @cap-js/postgres@cap-js/postgresThe PostgreSQL database service — the production option for running CAP off HANA, sharing the base service with the other three.sap official, cap should be used instead of the packages described below. Kept because that notice is the record of when the community adapter stopped being the answer.Database connectors
Run and Deploy SAP CAP (Node.js or Java) with PostgreSQL on SAP BTP Cloud FoundrypublishedBoth runtimes in one walkthrough, and it stops on schema evolution — which is the reason to read it rather than one of the several other PostgreSQLPostgreSQLA relational database. For CAP it is the production database when the answer is not HANA, reached through an adapter that translates CDS queries into its SQL. posts here, since that is where the PostgreSQL story diverges from HANA's and the deploy stops being automatic.Database connectors
SAP BTP Showcase - Use SAP Cloud Application Programming to do Native Development on HANA CloudpublishedThe fifth of a seven-post showcase, and the one where CAP is used to reach HANA-native artifacts rather than to avoid them. Long, and it sits inside a series whose other parts are about Data Warehouse Cloud and CI/CD.Database connectors
SAP CAP Lessons Learned: Run a CAP app using SQLite on SAP BTP - Cloud FoundrypublishedSQLite past the point it is meant to go — deployed, not local. Written as a lesson learned rather than a recommendation, and it pairs with the author's own note that SQLite is single threaded.Database connectors
Setting Up PostgreSQL for SAP BTP Development: A Practical GuidepublishedOpens with the premise the rest of this bucket mostly assumes away — not every BTP application needs HANA Cloud — and then sets up PostgreSQLPostgreSQLA relational database. For CAP it is the production database when the answer is not HANA, reached through an adapter that translates CDS queries into its SQL. on the hyperscaler option. Part one of a series that continues into XSUAA.Database connectors
SFSFとHANA Cloudを使用するCAPのアプリケーション開発publishedIn Japanese. A hands-on taking data between SuccessFactors and HANA Cloud through a CAP application — the connection setup, the data and service models, then read and write logic, and a Cloud Foundry deploy. Long enough to carry its own table of contents.Database connectors
Sharing SAP HANA Cloud instance to multiple subaccounts and creating HDI containerspublishedOne HANA Cloud instance, several subaccounts, an HDI container created from each — the arrangement that keeps a landscape from paying for a database per subaccount. Written against a CAP project, so the container mapping is shown from the side that has to consume it.Database connectors
Simple steps to deploy your CAP project to HANA cloudpublishedWritten from the far side of a failed deploy — the author says these are the troubleshooting steps that ended up working, not a designed procedure. Short, and honest about being a record rather than a recommendation.Database connectors
SQLite as database for a multi-target (/productive) CAP ApplicationpublishedOpens with "Not recommended but possible", and then names the two cases where it is the right call anyway: a showcase, and a landscape with no HANA Cloud available. The caveat is the content.Database connectors
Unlocking Efficiency: Leveraging SAP BTP Document Management Service in Fiori Applications # 2publishedDocument Management's own Attachment Reuse UI dropped into a Fiori elements List Report, in two variants — OData V2, and OData V4 in a CAP application. The CAP half is one of the two scenarios rather than the subject; the rest of the series is about custom Fiori apps and a process task UI, with no CAP in them.Attachments
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Connect SAP CAP (Node.js) to On-Premise/Private PostgreSQL using SAP Cloud ConnectorpublishedAn end-to-end route from a CAP Node.js application on Cloud Foundry to a PostgreSQLPostgreSQLA relational database. For CAP it is the production database when the answer is not HANA, reached through an adapter that translates CDS queries into its SQL. database that is never made publicly reachable, over BTP Connectivity and the Cloud Connector using a TCP destination and SOCKS5. The part worth having is that it covers the deployer as well as the server: the generated PostgreSQL deployer has to reach the same private database to deploy the CDS model, and a guide that only connects the runtime leaves you with a schema you cannot install.Database connectors