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Domain: Data & Persistence
Signals: Last 6 months
Content: 3
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Group by: Capability
Domain Data & PersistenceLiveness Last 6 monthsOffers Runnable codeOffers A recipeOffers The reasoningClear all
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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
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
Handling Concurrent Updates in SAP CAP JavaHandling Concurrent Updates in SAP CAP JavaAlice and Bob open the same employee record; Bob saves last and quietly erases Alice's change. The lost-update problem stated concretely and then answered in CAP Java, which is the only entry here on the subject — hence the capability.Anjali_Pathak, published 2026-05-26
Federating, Replicating, and Caching Remote Data in CAP — Part 2Federating, Replicating, and Caching Remote Data in CAP — Part 2The practical half of the pair. Where Part 1 sets out the terminology, what CAP does out of the box and where the gaps are, this one builds a small application that federates, replicates and caches remote data, one step at a time, with the finished project published as sales-cockpit so a reader can either follow along or start from the end. It began as a twenty-minute reCAP talk, which the author says was only room for the intro.published 2026-07-17
Deep Insert in SAP CAPM Using Composition and Fiori ElementsDeep Insert in SAP CAPM Using Composition and Fiori ElementsParent and children created in one transaction, which composition already gives you in the model — the post is about what Fiori elements does with it, and what the payload looks like when the UI sends both at once.published 2026-05-22
Connect SAP CAP (Node.js) to On-Premise/Private PostgreSQL using SAP Cloud ConnectorConnect SAP CAP (Node.js) to On-Premise/Private PostgreSQL using SAP Cloud ConnectorAn end-to-end route from a CAP Node.js application on Cloud Foundry to a PostgreSQL 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.Kalaikovan, published 2026-08-07
Connect SAP CAP (Node.js) to On-Premise/Private PostgreSQL using SAP Cloud Connector
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]The first of six, and it does the thing the later parts depend on: build the Incident Management application against SQLite on a laptop, with no cloud database in sight. The series is called decoupled because the front end and the back end are deployed separately, and this part is entirely the back end.sanjucs, published 2026-05-06
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-3]Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-3]The 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.sanjucs, published 2026-05-08
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-4]Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-4]The 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.sanjucs, published 2026-05-12
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-4]
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
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
Connecting Two SAP CAP Projects Without Duplicating Your DataConnecting Two SAP CAP Projects Without Duplicating Your DataCross-container HDI synonyms, argued from the alternatives rather than presented as a recipe: copying the table, standing up an API, or hard-coding the values are the three things the author reports seeing teams do, and each is named as working but unclean. With synonyms in place the consuming project queries the owner's HANA tables through ordinary SQL and ordinary CAP service code, with no replication and nothing to drift between environments. Covers the same ground as Mio Yasutake's 2021 post from a different angle — that one enumerates four topologies, this one argues for one of them.Inderpreet, published 2026-07-08
From SEGW and Legacy UI5 to RAP with ARC-1From SEGW and Legacy UI5 to RAP with ARC-1Three ARC-1 skills, run in Cursor with Composer-2 against a deliberately rough demo on an S/4HANA 2023 trial system, turn the SEGW service ZDEMO_MIG_PROJECTS_SRV into a managed, draft-enabled RAP business object published as OData V4, replace its ApproveProject function import and its direct UPDATE ... COMMIT WORK with the action approve_project written in EML in local mode, and rebuild the freestyle UI5 JavaScript app once in UI5 TypeScript and once as a Fiori elements list report and object page driven by metadata extensions. What the published transcripts add is how the agent got there: it found the generated MPC class names and the custom logic in DPC_EXT only by reading the system, the skills made it print the extracted model and stop for confirmation before writing, and @ui5/mcp-server, mcp-sap-docs and @sap-ux/fiori-mcp-server each had their own job beside it. The demo is small on purpose, and the post says a productive SEGW service that calls BAPIs, carries custom authorisation logic or supports deep inserts is not solved with one prompt.published 2026-05-11
From SEGW and Legacy UI5 to RAP with ARC-1
@sap-ux/fiori-mcp-server has been through 2 major lines since this was published: 0.7 (2026-05), 1 (2026-05). Affects Runnable code.