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Explore your Hyperscaler data with SAP Business Data CloudExplore your Hyperscaler data with SAP Business Data CloudSAP's map of the ways data held on hyperscaler and partner platforms is joined with SAP data in SAP Business Data Cloud, with a sub-page each for AWS, Azure, Google Cloud, Databricks 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 Datasphere 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 warehouse 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.published 2026-05-08
Federated Machine Learning with SAP DatasphereFederated Machine Learning with SAP DatasphereSAP's design for training predictive models on an external machine learning platform against SAP Datasphere data that is not replicated to that platform. The open-source FedML Python library runs in the platform's notebook, connects to Datasphere over Python/SQLDBC and reads the analytic models in which Datasphere unifies SAP and non-SAP sources; a trained model can then be deployed to SAP AI Core, or in several sub-pages to SAP BTP, Kyma runtime, which is the predictive models path where training happens outside SAP. Sub-pages cover Amazon SageMaker, Azure Machine Learning, Google Vertex AI, Databricks, NVIDIA RAPIDS on GPUs and IBM watsonx.published 2025-01-23
Strategy and Tool Updates on BW Modernization with SAP Business Data CloudStrategy and Tool Updates on BW Modernization with SAP Business Data CloudDevtoberfest 2026 session DAT-13, in which a product manager for SAP Business Data Cloud 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 Datasphere, 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 warehouse 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.SAP Developers, published 2026-09-22
Updates on Embedded Analytics in ABAP Cloud for DevelopersUpdates on Embedded Analytics in ABAP Cloud for DevelopersA Devtoberfest 2026 session (ABA-33) on the generator wizards for Embedded Analytics in ABAP Cloud, run by right-clicking a data definition in the ADT Project Explorer. It first names the artefacts a star schema needs, all of them ABAP CDS — cube view at its centre, dimension, text and hierarchy views reached by association, a hierarchy directory, and an InA service definition and binding — and then generates them: the star schema generator reads a view entity's metadata, sorts its fields into dimensions and measures, asks about the ones it cannot decide, offers the dimension views it found and writes an activated cube view; the hierarchy generator produces directory, node, base and definition views plus a maintenance business object with a generated app, which is used to group airlines into alliances before the hierarchy is switched on in the layout of the multi-dimensional analysis app. That is analytic modelling on the ABAP platform, which is what the edges rest on; the outlook names time-dependent hierarchies, translatable texts and dimensions generated from database tables.published 2026-10-05
🔴 Your Agent Wants to Call SAP. Now What?🔴 Your Agent Wants to Call SAP. Now What?Devtoberfest 2026 session INT-23, on what belongs between an agent and an SAP system. A solution advisor and an enterprise architect point Joule Desktop extensions at MCP servers built on API Management inside SAP Integration Suite, and ask it for business partners, orders and line items from an S/4HANA demo system; asked for the ten largest customers it answers from a sample of 200 orders rather than reading the whole table. They then open the API proxy behind it, where a spike arrest policy caps the backend at ten calls per second and the MCP server is configured to expose only the GET resources of the business-partner API so that an agent cannot create one, which is where the edges to Serve your application over MCP and Rate limiting hold. For totals across all sales orders they send the agent to SAP Business Data Cloud instead of the transactional system, since it aggregates and is read-only, and back through Integration Suite for writes such as journal entries.SAP Developers, published 2026-09-30
Data Product Governance in SAP Business Data CloudData Product Governance in SAP Business Data CloudA Devtoberfest 2026 data-track session (DAT-41) on data product governance in SAP Business Data Cloud, 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 lineage 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.SAP Developers
Explore your Hyperscaler data with SAP Business Data CloudExplore your Hyperscaler data with SAP Business Data CloudSAP's map of the ways data held on hyperscaler and partner platforms is joined with SAP data in SAP Business Data Cloud, with a sub-page each for AWS, Azure, Google Cloud, Databricks 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 Datasphere 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 warehouse 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.published 2026-05-08
SAP BDC and AI: A Perfect MatchSAP BDC and AI: A Perfect MatchA Devtoberfest 2026 data-track session (DAT-22) in which Business Data Cloud's CTO sets out how SAP Business Data Cloud 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 Joule 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 Studio as the place to build your own agents and data products.SAP Developers, published 2026-09-29
SAP BDC in Business AI Platform: Contextualize and ReasonSAP BDC in Business AI Platform: Contextualize and ReasonA Devtoberfest 2026 session (DAT-31) that places SAP Business Data Cloud 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 data in the SAP HANA Cloud knowledge graph engine as RDF triples queried with SPARQL. The closing demo has SAP Joule 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 lineage as much as for the products it names.SAP Developers, published 2026-10-06
Strategy and Tool Updates on BW Modernization with SAP Business Data CloudStrategy and Tool Updates on BW Modernization with SAP Business Data CloudDevtoberfest 2026 session DAT-13, in which a product manager for SAP Business Data Cloud 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 Datasphere, 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 warehouse 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.SAP Developers, published 2026-09-22
Transforming Enterprise Data Strategy with SAP Business Data CloudTransforming Enterprise Data Strategy with SAP Business Data CloudSAP's layered picture of SAP Business Data Cloud, 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 lineage part: datasets described by Open Resource Discovery metadata, listed in the BDC catalog and shared over Delta Sharing to SAP Databricks and SAP HANA Cloud, with SAP Datasphere 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 Services into SAP Databricks, which is identity provisioning, and train predictive models in SAP Databricks that SAP AI Core 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.published 2026-05-12
CAP-level Data FederationCAP-level Data FederationA Devtoberfest 2026 session (CAP-31) on letting one CAP application read another's data as if it were local. The modelling half is the same for both answers, which is why the two technical edges hold: the provider defines an API service and exports it with CDS export as an npm package carrying the model, mock data and translated texts, the consumer imports it and puts consumption views on top, and only then is it wired either as service-level replication that copies the rows into local tables each time the server starts, or over the SAP HANA synonyms that cds-federation-synonyms generates, with HDI grants on the provider side and a service replacement that redirects each synonym from its mock table to the provider's container. It is worked through on xflights and xtravels, including the local run where CDS watch mocks the imported service from the CSV files inside the package.SAP Developers, published 2026-10-02
CAP-level Data FederationCAP-level Data FederationA Devtoberfest 2026 session (CAP-31) on letting one CAP application read another's data as if it were local. The modelling half is the same for both answers, which is why the two technical edges hold: the provider defines an API service and exports it with CDS export as an npm package carrying the model, mock data and translated texts, the consumer imports it and puts consumption views on top, and only then is it wired either as service-level replication that copies the rows into local tables each time the server starts, or over the SAP HANA synonyms that cds-federation-synonyms generates, with HDI grants on the provider side and a service replacement that redirects each synonym from its mock table to the provider's container. It is worked through on xflights and xtravels, including the local run where CDS watch mocks the imported service from the CSV files inside the package.SAP Developers, published 2026-10-02
CDS Associations & JoinsCDS Associations & JoinsA Devtoberfest 2026 session from SAP's performance and scalability team on what an ABAP CDS association becomes on SAP HANA, taken as an excerpt from their internal performance training. The CDS edge rests on the three ways an association is used: a path expression and an explicit join both put a left outer join into the generated view, while exposing the association leaves the view without one and adds the join only for a query that asks for its fields, which the session calls join on demand. The data modelling edge is the advice that follows and the demo under it — cardinality written as precisely as the data allows, because the optimiser trusts it, shown with a view whose missing cardinality let SELECT COUNT(*) prune the join and return 18 rows where selecting the columns returned 56, plus the left-hand, right-hand and left-outer-to-inner rewrites that correct cardinalities make possible.SAP Developers, published 2026-10-12
Developing authorizations for business users in SAP Business AI Platform, ABAP environmentDeveloping authorizations for business users in SAP Business AI Platform, ABAP environmentA Devtoberfest 2026 session that walks the places an authorization check has to be written when a RAP business object is implemented, which is the whole of the authorization edge: read restrictions as DCL access controls that become a filter at query time, a child entity inheriting its parent's conditions through an association, the projection layer inheriting rather than changing them, and the same check repeated on the draft side. The ABAP CDS edge holds on that draft half — until 2608 a draft query view was needed above the draft table so a DCL had something to attach to, while a draft table entity is already on CDS level and takes the DCL directly, as long as the associations used in the inherited conditions are redefined on it. Create, update and delete are then taken handler by handler, including the trap that instance authorization reads the buffer and so cannot see the new value a pre-check would reject, and the session closes on in local mode and privileged EML calls.published 2026-10-12
Updates on Embedded Analytics in ABAP Cloud for DevelopersUpdates on Embedded Analytics in ABAP Cloud for DevelopersA Devtoberfest 2026 session (ABA-33) on the generator wizards for Embedded Analytics in ABAP Cloud, run by right-clicking a data definition in the ADT Project Explorer. It first names the artefacts a star schema needs, all of them ABAP CDS — cube view at its centre, dimension, text and hierarchy views reached by association, a hierarchy directory, and an InA service definition and binding — and then generates them: the star schema generator reads a view entity's metadata, sorts its fields into dimensions and measures, asks about the ones it cannot decide, offers the dimension views it found and writes an activated cube view; the hierarchy generator produces directory, node, base and definition views plus a maintenance business object with a generated app, which is used to group airlines into alliances before the hierarchy is switched on in the layout of the multi-dimensional analysis app. That is analytic modelling on the ABAP platform, which is what the edges rest on; the outlook names time-dependent hierarchies, translatable texts and dimensions generated from database tables.published 2026-10-05
Bridging Python and SAP HANA: Inside the sqlalchemy-hana Open-Source DialectBridging Python and SAP HANA: Inside the sqlalchemy-hana Open-Source DialectA 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 HANA. 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.SAP Developers, published 2026-09-29
Bring "developers.sap.com" Into Your Dev Environment: SAP Developer Context for AI Coding AgentsBring "developers.sap.com" Into Your Dev Environment: SAP Developer Context for AI Coding AgentsDevtoberfest 2026 session FA-11: a tour of the rebuilt developers.sap.com by the team that runs it, from the administration screens behind the home page to the agent interfaces in front of it. The site is a CAP application on SAP HANA Cloud and SAP BTP, open-sourced in full, and the half of the session that places it here is how its content reaches an agent: every tutorial is also served as markdown, a coding agent is detected and given that version instead of the HTML, a well-known agent card advertises what the site offers, and SAP Developers MCP answers questions about tutorials, news and a reader's own completion history in Claude Code and Joule Desktop, over OAuth or a personal access token. Behind the answers sit two things working together: a knowledge graph in the HANA database over 1400 tutorials and 11,000 concepts, and SAP AI Core for the Joule interactions and the embeddings, with the agent harness written for the site rather than taken off a shelf. Where neither MCP nor A2A is available, the same content is published as skills.SAP Developers, published 2026-09-25
Building your knowledge graph on SAP HANA CloudBuilding your knowledge graph on SAP HANA CloudDevtoberfest 2026 session DAT-11, in which two enterprise architects explain what a knowledge graph is and then build one on SAP HANA Cloud. 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 data 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 Cloud.SAP Developers, published 2026-09-22
CAP in the age of AI #6 - vector embeddingsCAP in the age of AI #6 - vector embeddingsVector embeddings put to work in the incident management sample, answering whether this problem has been seen before. An embedding element of type Vector is calculated and stored from the vector_embedding function, so the database refreshes it whenever the text behind it changes, and cosine_similarity compares it with a freshly embedded string; because a title says little, a scheduled action first summarises each incident's conversation through a model on SAP AI Core and the embedding is taken from that summary. The similar-incidents list is a view joining incidents to themselves, with order and limit set in a before handler on the expanded query, and the vector element excluded from the service, since OData knows nothing about vectors — on SAP HANA Cloud the function is native, while SQLite needs packages added to the project.published 2026-10-09
CAP in the age of AI #7 - vector embeddings wrap-upCAP in the age of AI #7 - vector embeddings wrap-upThe same embeddings model taken from SQLite to SAP HANA Cloud, then handed to an agent. Locally it is @cap-js/ai that adds the vector functions SQLite lacks and downloads an all-MiniLM L6v2 ONNX model on first start; on HANA natural language processing has to be switched on, the model name is a mandatory argument, the vectors it returns are 768 dimensions, and dimensions must match on both sides of a comparison. HANA itself can be given SAP AI Core as a remote source for other embedding models, which a CDS.ql expression has to inject because the postfix notation only takes what the CDS model holds, and the hour ends with a search function over cosine similarity exposed over @cap-js/mcp, so an agent asked about low output from solar panels calls semantic search instead of writing the query itself.published 2026-10-16
Combining AI Agents with the power of SAP HANA embedded ML (part 1)Combining AI Agents with the power of SAP HANA embedded ML (part 1)Devtoberfest 2026 session DAT-12, the first of two parts, in which Vitaliy Rudnytskiy does a data scientist's work against the embedded machine learning of SAP HANA Cloud 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 tooling 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.published 2026-09-22
Medallion Reference Architecture for Big Data Processing in SAP HANA CloudMedallion Reference Architecture for Big Data Processing in SAP HANA CloudSAP's medallion layout for SAP HANA Cloud: 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 warehouse covers, with Spark jobs and SAP Datasphere data flows named as ways to move data between layers and SAP Analytics Cloud 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.published 2025-04-03
SAP BDC in Business AI Platform: Contextualize and ReasonSAP BDC in Business AI Platform: Contextualize and ReasonA Devtoberfest 2026 session (DAT-31) that places SAP Business Data Cloud 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 data in the SAP HANA Cloud knowledge graph engine as RDF triples queried with SPARQL. The closing demo has SAP Joule 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 lineage as much as for the products it names.SAP Developers, published 2026-10-06
SAP HANA Cloud as an Esri GeodatabaseSAP HANA Cloud as an Esri GeodatabaseSAP's design for running an Esri ArcGIS Enterprise geodatabase inside SAP HANA Cloud, 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 data. It traces three personas: an analyst in ArcGIS Pro building query layers over that view, a developer whose 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.published 2025-03-25
SAP HANA Data Lake Files (HDLF) Basic FunctionalitiesSAP HANA Data Lake Files (HDLF) Basic FunctionalitiesA Devtoberfest 2026 data-track session on SAP HANA data lake files, the managed object store inside SAP HANA Cloud 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 storage 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.SAP Developers
Building your knowledge graph on SAP HANA CloudBuilding your knowledge graph on SAP HANA CloudDevtoberfest 2026 session DAT-11, in which two enterprise architects explain what a knowledge graph is and then build one on SAP HANA Cloud. 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 data 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 Cloud.SAP Developers, published 2026-09-22
SAP BDC in Business AI Platform: Contextualize and ReasonSAP BDC in Business AI Platform: Contextualize and ReasonA Devtoberfest 2026 session (DAT-31) that places SAP Business Data Cloud 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 data in the SAP HANA Cloud knowledge graph engine as RDF triples queried with SPARQL. The closing demo has SAP Joule 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 lineage as much as for the products it names.SAP Developers, published 2026-10-06
SAP HANA Cloud as an Esri GeodatabaseSAP HANA Cloud as an Esri GeodatabaseSAP's design for running an Esri ArcGIS Enterprise geodatabase inside SAP HANA Cloud, 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 data. It traces three personas: an analyst in ArcGIS Pro building query layers over that view, a developer whose 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.published 2025-03-25
Explore your Hyperscaler data with SAP Business Data CloudExplore your Hyperscaler data with SAP Business Data CloudSAP's map of the ways data held on hyperscaler and partner platforms is joined with SAP data in SAP Business Data Cloud, with a sub-page each for AWS, Azure, Google Cloud, Databricks 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 Datasphere 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 warehouse 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.published 2026-05-08
Medallion Reference Architecture for Big Data Processing in SAP HANA CloudMedallion Reference Architecture for Big Data Processing in SAP HANA CloudSAP's medallion layout for SAP HANA Cloud: 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 warehouse covers, with Spark jobs and SAP Datasphere data flows named as ways to move data between layers and SAP Analytics Cloud 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.published 2025-04-03
Strategy and Tool Updates on BW Modernization with SAP Business Data CloudStrategy and Tool Updates on BW Modernization with SAP Business Data CloudDevtoberfest 2026 session DAT-13, in which a product manager for SAP Business Data Cloud 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 Datasphere, 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 warehouse 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.SAP Developers, published 2026-09-22
SAP HANA Data Lake Files (HDLF) Basic FunctionalitiesSAP HANA Data Lake Files (HDLF) Basic FunctionalitiesA Devtoberfest 2026 data-track session on SAP HANA data lake files, the managed object store inside SAP HANA Cloud 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 storage 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.SAP Developers
Always in Sync — Field-level and event-driven side effects for reactive UIs in RAPAlways in Sync — Field-level and event-driven side effects for reactive UIs in RAPA Devtoberfest 2026 session on side effects in RAP — the declarations in a behaviour definition that tell a draft UI to reload what a change affected, instead of leaving the user to refresh the browser. Field-level side effects recalculate a total price from a determination when a booking fee is entered, including across the association from a child item up to the root entity, and a permissions side effect toggles a description field between read-only and editable; a global side effect is attached to a determine action, fires when the user presses Enter, and only one may exist per business object, which is why the prepare action and a second determine action cannot both carry it. The last part starts a long-running calculation through the background processing framework and raises a business event that the behaviour definition lists as a side effect source and the projection makes public, so the Fiori app is updated with a notification when the work finishes, whether it was triggered by the user or by an application job — the transactional model and the async processing side the edges rest on.published 2026-10-05
What's new with draft handling in RAP?What's new with draft handling in RAP?An ABAP-day session at Devtoberfest 2026 on two additions to draft handling in RAP: collaborative draft, where two users work on the same draft instance and a field is locked only while the other is in it, and draft scope, where editing an instance of one draft-enabled business object puts the related instances of a dependent one into draft as well. Andre Fischer shows what each costs in the behaviour definition and projection, the draft query view and its DCL that collaborative draft needs over a table-based business object, and the CDS table entities that remove both the draft query view and the persistence table, with their current restrictions in ABAP analytics and extensibility; the from-scratch generator in ADT grows a checkbox for them. Both demos run against the DMO flight scenario of SAP-samples/abap-platform-refscen-flight, and the last part hides the draft-related features of an OData V4 app in its manifest, which the session gives as the reason a simple create-update-delete app no longer needs a V2 service binding.published 2026-09-21
Always in Sync — Field-level and event-driven side effects for reactive UIs in RAPAlways in Sync — Field-level and event-driven side effects for reactive UIs in RAPA Devtoberfest 2026 session on side effects in RAP — the declarations in a behaviour definition that tell a draft UI to reload what a change affected, instead of leaving the user to refresh the browser. Field-level side effects recalculate a total price from a determination when a booking fee is entered, including across the association from a child item up to the root entity, and a permissions side effect toggles a description field between read-only and editable; a global side effect is attached to a determine action, fires when the user presses Enter, and only one may exist per business object, which is why the prepare action and a second determine action cannot both carry it. The last part starts a long-running calculation through the background processing framework and raises a business event that the behaviour definition lists as a side effect source and the projection makes public, so the Fiori app is updated with a notification when the work finishes, whether it was triggered by the user or by an application job — the transactional model and the async processing side the edges rest on.published 2026-10-05
How to Build Application Jobs in SAP Business AI Platform, ABAP environmentHow to Build Application Jobs in SAP Business AI Platform, ABAP environmentA Devtoberfest 2026 session on the application job framework in the cloud ABAP environment, built from the repository objects outwards: a class implementing the new application job interface, whose public attributes become the parameters and select options, the application log object it writes to, a job catalog entry that lays out sections, groups and value helps, and a job catalog template that works like a report variant. The demo schedules and monitors runs in the Application Jobs Fiori app, starts a job from a RAP action through the scheduling API under a job user of its own, and debugs one through the template's run-for-testing entry. It closes on the alternatives for work that should not be a job — the background processing framework for short-running work, and RAP events consumed locally or sent over the event mesh — which is the async processing this session covers for SAP BTP ABAP environment.published 2026-09-28
S/4HANA Custom Development - What happens in case of errors in BAPIs or RAP BOs?S/4HANA Custom Development - What happens in case of errors in BAPIs or RAP BOs?A Devtoberfest 2026 session on what a custom S/4HANA process does when a BAPI or a RAP business object fails. It is framed from project work rather than product development, with the same issues and challenges turning up on project after project, and it offers the ABAP Processing Center, ABAP-PRC, as what fills the gap it names in modern ABAP development. The edges rest on the opening, which states the session's subject as errors in S/4HANA custom development, read as error handling on the ABAP door, and names that framework.SAP Developers, published 2026-09-21
Secure Service Consumption Across HyperscalersSecure Service Consumption Across HyperscalersSAP's design for a workload on SAP BTP that calls Amazon Web Services or Google Cloud services with short-lived credentials instead of stored keys, which is the outbound side of authentication: the BTP application proving who it is to another cloud. On AWS it draws two paths, an ID token from Identity Authentication in Cloud Identity Services exchanged through AWS STS for an IAM role, or an X.509 certificate kept in SAP Destination service and presented to IAM Roles Anywhere; on Google Cloud only the token path, through Workload Identity Federation and an impersonated service account. It is drawn for those two hyperscalers only, and Microsoft Azure has no page in it.published 2025-05-14
The ECC-to-CAP Starter KitThe ECC-to-CAP Starter KitA Devtoberfest 2026 session that builds a CAP service and a Fiori elements list report over an SAP ECC gateway service, on the argument that the CAP project, its contract and its UI survive a later move to SAP S/4HANA while the APIs behind them change. The service integration edge is the body of the demo: the metadata of the ECC flight service is saved as an EDMX file, imported with cds import so the model holds the structure and none of the data, projected read-only into a flight service, and one line of handler code forwards each read to ECC, with filtering, sorting and paging translated down to the older OData version the system speaks. The SAP Destination service edge covers the on-premise destination and the additional properties the walkthrough insists on, and the SAP Business Application Studio edge covers the full-stack dev space, the CAP project wizard, the service center plugin for picking up another OData service, and cds watch run under the profile that uses those credentials.published 2026-10-09
Designing Event-Driven ApplicationsDesigning Event-Driven ApplicationsSAP's guidance for building applications on event-driven architecture with BTP services. It sets out a two-part strategy: SAP Cloud Application Event Hub for events between SAP cloud applications and BTP, and the SAP Integration Suite family for dedicated event brokers in hybrid landscapes. Its sub-pages then cover EDA patterns, design considerations and AWS and Azure IoT integration. The framing is integration between systems; the in-process outbox and queueing inside one CAP service are not its subject.published 2025-10-10
Event Add-On for ERP: All you need to know about the new Event StudioEvent Add-On for ERP: All you need to know about the new Event StudioA Devtoberfest 2026 integration-track session (INT-43) on Event Studio, the browser-based part of the Event Add-On for ERP that defines events in an S/4HANA or ECC backend without code and sends them to a broker. A custom sales-order event is built live — fields picked into a payload that is published as a CDS view entity, a trigger on a classic business object, a static topic — and arrives in a queue on SAP Integration Suite, advanced event mesh, which is where the Event Mesh edge holds. The rest of the demo covers health and exception monitoring in SAP Cloud ALM, the AsyncAPI definition replicated to Event Portal, and the AI assistant and MCP server now inside Event Studio.SAP Developers
IntegrAItion: Event-Driven IntelligenceIntegrAItion: Event-Driven IntelligenceA Devtoberfest 2026 session, INT-33, whose line is that agents fail because they are not informed enough rather than not clever enough, and that events are how they get informed: what an event is, the source-broker-consumer split, notification against data events, and topic filtering as the thing that decides which agents are woken at all and what that costs in tokens. It covers Event Mesh as the concern — topics, subscriptions, filters and queues — and SAP Integration Suite, advanced event mesh as the product, down to its event portal and catalogue, the mesh and cluster managers and distributed tracing. The closing demo sends an S/4HANA product-defect event through the mesh to wake an agent in Joule Studio, which fetches what it still needs over MCP and reports to a person the next morning.SAP Developers, published 2026-10-07
Application to Application IntegrationApplication to Application IntegrationSAP's reference architecture for application-to-application integration, where messages carrying transactional data such as sales orders pass between business applications in near real time and each one triggers the next process step. When the sender's and receiver's APIs do not match, Cloud Integration in SAP Integration Suite sits between them to determine receivers, filter, map structures and convert protocols, which is the ground of integration flows; SAP Connectivity service, Cloud Connector and SAP Destination service reach on-premise receivers, and the edge integration cell runtime keeps processing inside a customer-managed landscape where compliance requires it. Direct exchange without middleware is allowed when the two APIs already align, asynchronous communication is the default the page states, and it is drawn at the level of the pattern, following SAP's Integration Solution Advisory Methodology, without designing any one flow.published 2024-08-01
Business to Business IntegrationBusiness to Business IntegrationSAP's reference architecture for business-to-business integration, the exchange of business documents with customers, suppliers and other trading partners over agreed standards such as EDIFACT, ANSI X.12 and IDoc and protocols such as AS2. Its design-time steps are Cloud Integration in SAP Integration Suite, the predefined content of SAP Business Accelerator Hub, and Integration Advisor, which defines message implementation and mapping guidelines and generates runtime artifacts from them; Trading Partner Management then turns partner profiles into agreements pushed to the Partner Directory, and generic integration flows on Cloud Integration read those agreements at runtime to exchange messages with each partner. The alternatives it names are API-based exchange where an industry has standardised its APIs, and SAP Business Network with the managed gateway for spend management in place of connecting partners one by one.published 2024-08-01
Connect Business Processes with SAP Master Data IntegrationConnect Business Processes with SAP Master Data IntegrationSAP's reference architecture for keeping master data such as materials, business partners and cost centres consistent across applications with SAP Master Data Integration, a central hub that stores every change in an event log and distributes it to the solutions that consume it. Cloud Integration in SAP Integration Suite carries what the hub does not reach, SAP solutions it does not yet support and third-party or on-premise systems, through an SAP Master Data Integration adapter, which is where the design meets integration flows; newer SAP S/4HANA releases connect to the hub without it. Consolidation, data quality and central governance are outside the architecture and left to SAP Master Data Governance, and SAP Master Data Integration itself has no entry in the atlas yet.published 2024-08-01
Edge Integration Cell - what's new?Edge Integration Cell - what's new?A Devtoberfest 2026 integration-track session (INT-41) on Edge Integration Cell, the runtime of SAP Integration Suite a customer runs on their own Kubernetes cluster while design, configuration and monitoring stay in the cloud tenant. It names what the customer has to provide — a supported Kubernetes platform, SAP HANA or PostgreSQL, Redis or Valkey as data store, a load balancer — then the Edge Lifecycle Management cockpit with its monthly rolling updates, the inbuilt and the external Cloud Connector options and why a DMZ placement calls for the second, and the adapters available only on Edge: RFC sender, NFS, OFTP2 and UNF. The demo deploys an OFTP-to-file flow to the Edge runtime and shows the same flow rejected when its runtime profile is switched to cloud, which is where the Integration flows edge holds.SAP Developers
Edge Integration Cell on HyperscalersEdge Integration Cell on HyperscalersSAP's architecture for Edge Integration Cell, the runtime of SAP Integration Suite that executes integration flows in a Kubernetes cluster the customer runs, while design, monitoring and governance stay on SAP BTP and the runtime reaches BTP over outbound-only channels. The main page gives the reasons SAP names for it: data residency, security policies that forbid inbound access, and latency to a distant BTP region. Three sub-pages draw the same setup on AWS, Azure and Google Cloud, each with a private network across three availability zones, a managed Kubernetes cluster, managed PostgreSQL and Redis, sizing left to an SAP Note, and each says it outlines a small production deployment to be treated as a starting point.published 2025-04-18
From opportunity to decision: Intelligent Credit Checks with AI Adapter in SAP Cloud IntegrationFrom opportunity to decision: Intelligent Credit Checks with AI Adapter in SAP Cloud IntegrationDevtoberfest 2026 session INT-12, in which an integration consultant builds two scenarios around the AI adapter in Cloud Integration. The first integration flow is triggered by a Salesforce opportunity event, reads that customer's history from S/4HANA over its OData APIs and calls a sales agent through the AI adapter, which writes a credit status and a credit rating band back onto the opportunity for the sales representative to act on; the second calls an operations agent from an exception subprocess and raises a Jira ticket carrying the suggested resolution, the related past tickets and the average resolution time recorded for the issue. The session places the adapter among the HTTP, Open Connectors and application-specific adapter routes, names its SAP Generative AI Hub, OpenAI and Claude variants, and gives the build effort as roughly 50 to 60 hours for the OData calls against the adapter configuration's two tabs.SAP Developers, published 2026-09-23
Powering Enterprise-Ready Agentic AI with SAP Integration SuitePowering Enterprise-Ready Agentic AI with SAP Integration SuiteA Devtoberfest 2026 session (INT-31) from SAP Integration Suite product management on the MCP gateway. The demo creates an MCP server in a design package from an API already deployed on the tenant, exposes two of its 300-odd resources as tools, attaches authentication and quota policies on a policies tab, and publishes the deployed endpoint as an AI product in Developer Hub of API Management, where an agent subscribes and receives a token, URL, key and secret; the calls then show up in monitoring, in message processing logs and in the analytics dashboard, which is the MCP exposure and the tool governance the edges rest on. Three AI features inside Cloud Integration follow: a content migration agent that converts a PI/PO Java mapping into a Groovy script and generates a second integration flow for its lookup, memory profiling during a flow simulation, and root-cause analysis on a failed message processing log.SAP Developers, published 2026-10-07
SAP Cloud Integration chamber of horrorsSAP Cloud Integration chamber of horrorsA Devtoberfest 2026 integration-track session that goes through anti-patterns in Cloud Integration iFlows: scripts that re-implement flow steps or make external calls, the ESB_Messaging.send role on every sender channel, default flow-step names, dependence on undocumented platform internals, code that rewrites what the Groovy and Java libraries already hold, XML namespaces stripped to simplify XPath, HTTP calls between iFlows on one tenant where ProcessDirect would stay inside it, externalised parameters too few or too many, and MPL attachments left switched on in production. Each one comes with how to spot it — long scripts, jar files for SFTP communication, the design guidelines and upgrade readiness checks, or a rule in the presenter's own CPILint run locally or in a pipeline — and that pass over flow steps, sender roles, adapters and the message processing log is what the Integration flows edge rests on. The questions afterwards cover the GitHub integration in Cloud Integration, the absence of an official MCP server for building iFlows, and whether generated code shifts the choice between mapping, XSLT and scripting.SAP Developers
Edge Integration Cell - what's new?Edge Integration Cell - what's new?A Devtoberfest 2026 integration-track session (INT-41) on Edge Integration Cell, the runtime of SAP Integration Suite a customer runs on their own Kubernetes cluster while design, configuration and monitoring stay in the cloud tenant. It names what the customer has to provide — a supported Kubernetes platform, SAP HANA or PostgreSQL, Redis or Valkey as data store, a load balancer — then the Edge Lifecycle Management cockpit with its monthly rolling updates, the inbuilt and the external Cloud Connector options and why a DMZ placement calls for the second, and the adapters available only on Edge: RFC sender, NFS, OFTP2 and UNF. The demo deploys an OFTP-to-file flow to the Edge runtime and shows the same flow rejected when its runtime profile is switched to cloud, which is where the Integration flows edge holds.SAP Developers
The ECC-to-CAP Starter KitThe ECC-to-CAP Starter KitA Devtoberfest 2026 session that builds a CAP service and a Fiori elements list report over an SAP ECC gateway service, on the argument that the CAP project, its contract and its UI survive a later move to SAP S/4HANA while the APIs behind them change. The service integration edge is the body of the demo: the metadata of the ECC flight service is saved as an EDMX file, imported with cds import so the model holds the structure and none of the data, projected read-only into a flight service, and one line of handler code forwards each read to ECC, with filtering, sorting and paging translated down to the older OData version the system speaks. The SAP Destination service edge covers the on-premise destination and the additional properties the walkthrough insists on, and the SAP Business Application Studio edge covers the full-stack dev space, the CAP project wizard, the service center plugin for picking up another OData service, and cds watch run under the profile that uses those credentials.published 2026-10-09