Build Intelligent Data Apps with SAP HANA Cloud Multi-Model (openSAP)

Advanced data analysis and processing workloads require much more than a tabular data store and standard aggregation of numerical data. To provide complimentary capabilities like full-text search, machine learning, spatial processing, and network analysis, some project teams have assembled a quite complex system landscape with point solutions for each specific task. This leads to massive challenges in data replication, authorizations, and query federation, and high costs for system operations and development workflows. With the multi-model features in SAP HANA Cloud, you can tackle these challenges and build intelligent data apps.
SAP HANA Cloud is a modern database as a service (DBaaS) powering the next generation of applications across all enterprise data. It supports data and analytics at scale with one solution and enables intelligent data applications by embedding machine learning and data science, supporting advanced geo-spatial analysis, native full-text search, in-database graph processing, and many more multi-model capabilities.
This course focuses on SAP HANA Cloud and is aimed at software developers ready to learn about less well-known SAP HANA capabilities. In this course you’ll get an introduction to multi-model features, including the Document Store and working with JSON data, the Spatial engine and processing geo-referenced data, as well as the Graph engine and analyzing connected data. You’ll also learn how these capabilities can be combined to power an intelligent data app that enables a site selection scenario for new electric vehicle charging stations.

Course Content

Unit 1: Course overview and introduction
Unit 2: Managing data in SAP HANA Cloud
Unit 3: Working with geo-referenced data
Unit 4: Leveraging full-text search
Unit 5: Analyzing connected data
Unit 6: Utilizing machine learning
Unit 7: Building intelligent data apps