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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
Building an Attachment Upload and Download Solution Using UploadSetwithTable ControlBuilding an Attachment Upload and Download Solution Using UploadSetwithTable ControlThe successor control to UploadSet posts the file in one request by default, and against CAP that is wrong: the record has to be created first and the content put to it afterwards. The author states the two-step shape plainly and notes it may not apply to an ABAP backend, which is the kind of boundary that usually goes unsaid. Written during a proof of concept for a reusable attachment component, and it carries the problem they hit with the control.published 2025-03-13
Major updates to the Attachments plugin – multi-cloud support, malware scanning and moreMajor updates to the Attachments plugin – multi-cloud support, malware scanning and moreMulti-cloud storage and malware scanning added to the official plugin, framed through CAP's Calesi pattern — the argument being that a service interface is what lets the storage underneath change without the application noticing. The post that a triage bug hid: "attachment" had stopped matching "Attachments".published 2025-12-02
Major updates to the Attachments plugin – multi-cloud support, malware scanning and more
@cap-js/attachments 3.4.0, now 4.0.0, com.sap.cds:cds-feature-attachments 1.2.2. Affects A recipe, Runnable code.
Use SAP Document Management Service Plugin In CAP NODEJS Step by Step GuidanceUse SAP Document Management Service Plugin In CAP NODEJS Step by Step GuidanceThe official plugin is documented in capire; this is somebody who set it up anyway and wrote down where it went wrong. The author says as much — the point is to spare customers the troubles, so the value is in the order of the steps and the prerequisites, not in the API.Jacky_Liu1, published 2025-03-06
CAP just got faster: What's new in cds-caching 1.0CAP just got faster: What's new in cds-caching 1.0What changed in cds-caching at 1.0, announced at reCAP 2025 by the plugin's own maintainer. The substantive change is the read-through API: cache.rt.run(), send(), exec() and wrap() replace the bare cache.run() and cache.send(), and each returns the cache key and hit-or-miss metadata beside the result rather than the value alone. The second is quieter and easier to miss on an upgrade: user, tenant and locale stopped being folded into request-based cache keys by default and became opt-in through keyManagement, or per operation through a key template. Both of those still describe 3.x. What does not is the second half of the post: the metrics configuration it shows was reshaped at 2.0 and the statistics and dashboard settings were removed at 3.0, so take the monitoring and dashboard sections from the README instead. Read it as the successor to the introduction post, which still shows the deprecated calls.published 2025-07-15
CAP just got faster: What's new in cds-caching 1.0
cds-caching 1.0, now 3.1.1, cds 9, maintenance until 2027-06. Affects A reference.
Performance Boost and Caching Strategy for Faster Data Access using "cds-caching" in SAP CAPPerformance Boost and Caching Strategy for Faster Data Access using "cds-caching" in SAP CAPSomebody else's account of using the plugin, which is the useful counterpart to its documentation. The case is specific: a master-data entity of more than a million rows, rarely written and constantly read, where the read-heavy shape is what makes caching worth the complexity rather than a general performance wish. Walks through integrating cds-caching into that application and what it changed.NaveenChandar, published 2025-03-04
Performance Boost and Caching Strategy for Faster Data Access using "cds-caching" in SAP CAP
cds-caching has been through 4 major lines since this was published, most recently 1 (2025-07), 2 (2026-07), 3 (2026-08). Affects A recipe, Runnable code.
A CAP Plugin for Flexible Number Range Management: cds-numberrange-pluginA CAP Plugin for Flexible Number Range Management: cds-numberrange-pluginThe author's own plugin, and the reason given for writing it is about plugins rather than about number ranges: a year of using them convinced them that this was the way to extend CAP without leaving marks on the application. Sequential document numbers are the thing it does; keeping the host project clean is the thing it argues for.abdulbasit, published 2025-06-17
Creating a Hybrid CAP (Node.js) Profile with PostgreSQL on BTP from Business Application StudioCreating a Hybrid CAP (Node.js) Profile with PostgreSQL on BTP from Business Application StudioHybrid testing is documented for HANA; this is the same profile against a PostgreSQL instance on BTP, driven from a BAS dev space rather than a laptop. Proposed under editor support because of where it runs, but the subject is the binding: what cds bind writes, and what has to be true of the service instance and the tunnel for a local process to reach it.valentincadart, published 2025-10-02
Creating a Hybrid CAP (Node.js) Profile with PostgreSQL on BTP from Business Application Studio
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects Runnable code.
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
Using HANA Cloud’s "VECTOR_EMBEDDING" Function in CAPUsing HANA Cloud’s "VECTOR_EMBEDDING" Function in CAPEmbeddings generated inside the database rather than fetched from AI Core or an external model — a Q4 2024 HANA Cloud function, used from CAP. The shift it describes is where the embedding step lives, which changes what has to be deployed and what has to be called.published 2025-03-02
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
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
Semantic search in CAP (Node.js): vector embeddings and cosine similaritySemantic search in CAP (Node.js): vector embeddings and cosine similarityFinding the best semantic match for a prompt inside an entity, using local vector embeddings and cosine similarity — and the finding the author leads with is that it works without a vector database at all. Reported as experiments rather than as a pattern, which is the honest register for it: the interesting claim is how little infrastructure the simple case needs.published 2025-12-09
