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btp-trial-content-test (btp-trial-content) - 2025-07-18T14:06:43.457Z

Getting Started

Introduction

Start here to access an SAP HANA Cloud instance, import data for practical exercises and get an introduction to the concept of Intelligent Data Applications.

Getting Started and Introduction

In-Memory Column Tables

Understand the advantages of In-Memory Column Tables, and learn key table operations such as table partitioning, as well as loading and unloading data from memory.

Data Tiering

Understand SAP HANA Native Storage Extension as warm storage tiering option.

Multi Model - Spatial

Use SAP HANA Cloud’s Spatial engine to analyze and to visualize customer data

Multi Model - Property Graph

Use SAP HANA Cloud’s property graph engine to analyze relationships in business data.

Multi Model - Document Store

Use SAP HANA Cloud’s semi-structured document store to combine JSON data with structured customer data.

Business Application Studio Introduction

Graphical Calculation Views

Use SAP Business Application Studio to create calculation views, and understand the benefits of an integrated development environment.

Real-time data replication

Data Extraction and Transformation

use SAP Business Application Studio and build and deploy an application on SAP HANA Cloud to access and replicate data residing in Azure SQL Database via Smart Data Integration feature.

SAP HANA Cloud Smart Data Integration

Data Federation Introduction

Virtual Tables

Replica Tables

Replica Snapshot Tables

use SAP HANA smart data access to create virtual tables in the SAP HANA database that point to tables on remote sources. Allowing access and querying data from remote databases without having to copy the data into the SAP HANA Cloud, SAP HANA database. 

Data Federation

Multi Model - SAP HANA Cloud Knowledge Graph Engine

The SAP HANA Cloud Knowledge Graph Engine enables enterprises to store and query highly connected data using RDF-based graphs with SPARQL and SQL interoperability. It supports RDF graph data validation, inferencing and federated queries, allowing enterprises to combine relational, vector, and graph-based approaches for comprehensive contextual insights from complex datasets.

Multi Model - Knowledge Graph Engine

Introduction to multi-source data landscape

Access data from AWS S3 in SAP HANA Cloud, SAP HANA Database

SAP HANA Cloud, Data Lake Files

export and import files to and from Amazon S/3 and SAP HANA Cloud, Data Lake Files. 

Access Data from S3 and SAP HANA Cloud, Data Lake Files

Machine Learning: AutoML Introduction

Use SAP HANA Cloud’s embedded AutoML functions to quickly build a machine learning model.

Introduction to Vectors in SAP HANA Cloud

SAP HANA Cloud Vector Engine

Text Embedding

Multi Model with Vectors and Text Embeddings

Learn the fundamentals of the SAP HANA Vector engine and implement native SQL functions COSINE_SIMILARITY and L2DISTANCE  using the REAL_VECTOR data type on vectorized (embeddings) data.



Introduction to Gen AI Hub

Generative AI Hub with Vector grounding

In this hands-on workbook, we expose the new SAP Generative AI Hub through the LangChain framework and demonstrate how to combine this with SAP HANA Cloud vector embeddings. It also showcases how the relational database, document store, geospatial and vector engines can work together seamlessly. The lesson ends with the creation of a leaflet map using the open-source python library - Folium.

Generative AI Hub with HANA Vectors

Intelligent data applications represent a new generation of applications that use AI to provide real-time insights, self-learning capabilities, and predictive analytics. During this basic trial, learn first-hand the features of SAP HANA Cloud that powers this new generation of applications.

Introduction to SAP HANA Cloud