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teched2023-DA263

An SAP TechEd 2023 session on SAP HANA features over the HANA Deployment Infrastructure: in-memory column tables, data tiering, spatial, the document store, graph and AutoML.

Six exercises, one HANA feature each: in-memory column tables, data tiering, spatial, the document store, graph and AutoML, framed as HANA features using the HANA Deployment Infrastructure and worked through SAP Business Application Studio and the HANA Database Explorer. Getting started is its own step, which logs in to Business Application Studio with the credentials handed out in the session and creates a dev space of the SAP HANA native application kind. It asks for a basic understanding of how to use a database in the cloud and access to an SAP Business Technology Platform development environment, either the one the TechEd course provides or a trial account from SAP for SAP HANA.

Facts

Last pushLicenceApache-2.0

Where it sits

Lives in
Demonstrates
Graph, spatial and document dataBTPGraph, spatial and document datacapabilityStoring and querying data that is not plain rows, such as a network of relationships, a geometry or a JSON document, in the database that already holds the rows instead of in a separate store per model. Free-text search over entities is [search](capability:search); similarity over embeddings is [retrieval-augmented generation](capability:retrieval-augmented-generation).Predictive modelsBTPPredictive modelscapabilityTraining, deploying and calling a model that predicts a value from tabular business data: a classification, a regression, a forecast. Distinct from [LLM integration](capability:llm-integration), where a language model generates text, even where both run on the same service.
Requires
SAP HANA CloudSAP HANA Cloudartifactthe cloud database the exercises' HDI artefacts deploy into; the README asks for a BTP development environment or a trial account from SAP for SAP HANA.SAP Business Application StudioSAP Business Application Studioartifactwhere the exercises are worked and the dev space is created; the README names it alongside the HANA Database Explorer.

Who is behind it

SAP SamplesSAP SamplesOrganisationMaintains this
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maintainerabhishekmishra2305PersonContributes to this
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Ajinkya PatilPersonContributes to this
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@ajinkyapatil8190
shivendu14PersonContributes to this
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Volker SaggauPersonContributes to this
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5 contributors

What it declares

Every artifact

Type
Sample
Origin
By SAP
Use as
A reference

As a sample

Form
Workshop or CodeJam material

Connections4

README

quoted from SAP-samples/teched2023-DA263 under Apache-2.0, read
SAP-samples/teched2023-DA263/README.mdOn GitHub

REUSE status

DA263 - Build Innovative Business Applications with Database Services

Description

This repository contains the material for the SAP TechEd 2023 session called Session ID - Session Title.

Overview

This session introduces attendees to HANA Features using HANA Deployment Infrastructure (HDI) as:

  • IN-MEMORY-COLUMN TABLES
  • DATA-TIERING
  • MULTI-MODEL--SPATIAL
  • MULTI-MODEL--DOCUMENTSTORE
  • MULTI-MODEL--GRAPH
  • AUTOML

Requirements

The requirements to follow the exercises in this repository are :

  • Basic understanding how to use a database in the cloud
  • Access to a SAP Business Technology Platform development environment -- Provided by the course at TechEd -- Trial Account from SAP for SAP HANA
  • Using SAP Business Application Studio and HANA Database Exlorere

Exercises

Contributing

Please read the CONTRIBUTING.md to understand the contribution guidelines.

Code of Conduct

Please read the SAP Open Source Code of Conduct.

How to obtain support

Support for the content in this repository is available during the actual time of the online session for which this content has been designed. Otherwise, you may request support via the Issues tab.

License

Copyright (c) 2023 SAP SE or an SAP affiliate company. All rights reserved. This project is licensed under the Apache Software License, version 2.0 except as noted otherwise in the LICENSE file.

Apache-2.0, read

Details

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Compatibility and provenance
discovered viaGitHub organisations and accounts
first seen in the atlas
ecosystem and domainbtp, data-and-persistence
Contributors5

From the repository’s contributor list, .

History in the atlas1
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