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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
RAP - Native File UploadRAP - Native File UploadA workaround for uploading a file into a RAP application ahead of SAP's own upload and download solution, which is still pending: two abstract root entities — one holding the file's bytes, MIME type and filename, one for a popup dialog — joined by an association flagged with hierarchy, exposed through a static action declared with DEEP PARAMETER so the nested structure reaches the handler. The trade-offs are stated plainly: the popup takes no default values, only one file uploads at a time, and the UI annotation on the attachment field is ignored because its label is read from the sub-entity's own name.Björn S., published 2026-08-18
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
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
052: 10 Minutes from Start to Launchpad052: 10 Minutes from Start to LaunchpadWalks a RAP application from a root CDS view entity through a consumption projection and its associations to a metadata extension: a facet per field group, a hidden field via UI.hidden, and a selection field on the ABAP package, all in a Customer-layer DDLX source read by the generated Fiori elements app. It then covers the parts ABAP CDS modelling and annotation stop short of — service definition and binding, generating the UI in Business Application Studio, and wiring the deployed app into the Fiori Launchpad through an IAM App and business catalog.Björn S., published 2026-09-07
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 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 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
ABAP in Practice - Creating a Setup AppABAP in Practice - Creating a Setup AppWalks through an unmanaged custom entity behind a static Fiori Elements setup app: a factory maps step IDs to implementation classes behind one interface, and the transactional model sets every CRUD operation internal while adding CheckStep and ExecuteStep actions instead of generated persistence. It buffers the executed step for the save sequence and moves an API that issues a COMMIT to a background process via bgPF, since a COMMIT inside the action is forbidden in strict mode.Björn S., published 2026-08-28
RAP - Singleton PatternRAP - Singleton PatternBuilds the RAP Singleton pattern: a root CDS view entity constrained to always return exactly one row, its composition child for line items, and a transactional model behaviour definition — managed with unmanaged save, a determination that fills the user ID, and an EML update inside SAVE_MODIFIED to write the saved data elsewhere. Generates the Fiori elements object-page app from that service and adjusts Component.js so preferredMode lands the user in edit mode against the fixed semantic key, since the app always has exactly one record to open.Björn S., published 2026-08-25
Agentic AI & AI AgentsAgentic AI & AI AgentsSAP's target picture for AI agents: Joule as the engagement layer — Joule Work, Joule Assistants, Joule Agents — with custom agents from customers, partners and SAP teams connecting through A2A for agent-to-agent collaboration and MCP for tool connectivity, on the SAP Business AI Platform. It says up front that parts are not generally available yet, in particular bidirectional communication with third-party agents through the Agent Gateway, so it reads as direction with the building blocks named rather than a design to copy today.published 2026-08-27
Integrating and Extending JouleIntegrating and Extending JouleSAP's reference architecture for SAP Joule across SAP cloud applications: a request is checked against a Scenario Catalog of the applications' skills and a Knowledge Catalog answered by retrieval-augmented generation, combined with the user's roles and history, sent to an LLM available through the generative AI hub, and, where a Joule function is needed, turned into a call to the backend. Its identity page is the authentication path: each user sits in the Identity Directory of Cloud Identity Services with a Global User ID, Identity Provisioning synchronises role assignments into SAP Build Work Zone, whose navigation service decides which functions a user may call, and the Destination service exchanges the user's token to call a function in the user's name. Its extension page covers Joule Studio in SAP Build, where Joule skills automate rule-based tasks over APIs and AI agents plan and reason with models and document grounding from SAP AI Core, the ground agent tooling covers; a later Joule Studio page describes a managed Joule Studio Runtime on the SAP Business AI Platform, which has no entry here.published 2026-03-16
SAP IAM integration with SAP Cloud Identity ServicesSAP IAM integration with SAP Cloud Identity ServicesIdentity and access management for SAP SaaS in a landscape where SAP is one vendor among several: SAP Cloud Identity Services as the designated interface, single sign-on over SAML 2 and OIDC, identity lifecycle through SCIM 2 replication of users and groups, and authorization designed per domain — an S/4HANA role and a BTP role collection are different objects that both have to reach the user. Drawn from customer projects, and the source of what authentication here says about Cloud Identity Services.published 2025-05-13
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
Third-Party MCP Server Access to SAP Solutions on BTPThird-Party MCP Server Access to SAP Solutions on BTPDescribes external MCP servers and custom servers on BTP, assigning their operators responsibility for authentication, scoped identity, API limits, logging and lifecycle. The permitted use remains conditional on the SAP API Policy, while SAP Integration Suite and Joule Studio are described as SAP-provided paths. Hosting a server on BTP does not automatically supply its governance controls.Dhawal Joshi, Harut Ter-Minasyan, Mirko Günther
BTP - Authorization ObjectBTP - Authorization ObjectWalks through building a classic ABAP authorization object for the ABAP environment — an authorization field, the object itself created in ABAP Development Tools rather than the classic SU21 transaction, and its activities (01 create, 02 change, 03 display, and others) — then wires it into a CDS role's access control with the pfcg_auth aspect on the WHERE condition, which is authorization's ABAP form: CDS access control limiting what a view entity returns to the conditions in a CDS role. The check inherits down to a consumption view and even the Data Preview, and the piece notes the WITH PRIVILEGED ACCESS addition developers use in the SQL console to bypass it while testing.Björn S., published 2026-08-07
BTP - Restriction TypeBTP - Restriction TypeWalks through creating a Restriction Type and Restriction Field for an ABAP RAP authorization object, so the values an IAM app would otherwise fix as static entries can instead be maintained per Business Role in the Fiori Launchpad. Read and Write access on the restriction still follow the activities defined on the authorization object itself (03 for read, 01/02/06 for write), and the piece shows the effect end to end: a Fiori app narrowed to only the business partners assigned on the role. This is the ABAP door's authorization mechanism made dynamic — an access decision moved from the IAM app's fixed values onto the role, without touching the underlying CDS access control.Björn S., published 2026-08-11
RAP - Feature Control (Part 2)RAP - Feature Control (Part 2)Implements a reusable AUTHORITY-CHECK wrapper class and wires it into a RAP behaviour implementation's Feature Control, both the static global check on Create and the instance-based, partner-scoped checks on Update and Delete, so that an authorization decision greys out an action in the Fiori UI rather than only rejecting it after the save. Part two of the author's Sales App series, it also flags a newer, more strictly typed Feature Control flag SAP introduced since the first article, since using the older type produces a warning and can leave a flag silently without effect.Björn S., published 2026-08-14
SAP IAM integration with SAP Cloud Identity ServicesSAP IAM integration with SAP Cloud Identity ServicesIdentity and access management for SAP SaaS in a landscape where SAP is one vendor among several: SAP Cloud Identity Services as the designated interface, single sign-on over SAML 2 and OIDC, identity lifecycle through SCIM 2 replication of users and groups, and authorization designed per domain — an S/4HANA role and a BTP role collection are different objects that both have to reach the user. Drawn from customer projects, and the source of what authentication here says about Cloud Identity Services.published 2025-05-13
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