Today, enterprises and organizations collect and analyze huge volumes of data about everything from products and customers to assets, operations, and transactions. With SAP HANA, you can add a new dimension of intelligence by analyzing spatial data. SAP’s in-memory data management platform not only provides the technology for building geospatial applications, but also geo-content and services, along with a strong partner network. Learn how to leverage SAP HANA’s capabilities for spatial analysis and application development.
This course starts with a general overview of geometries as a first-class data type on the SAP HANA platform. We then focus on basic functions to create and relate spatial data and will investigate spatial analysis, for example clustering and geocoding. Finally, we will learn about the architectural components that make up a spatially-enabled application, and the integration of SAP HANA into specific clients like Esri ArcMap and SAP’s Earth Observation Analysis service. Demos and hands-on exercises are provided throughout.
Week 1: Introduction to SAP HANA Spatial
Week 2: Spatial Analysis
Week 3: Development of Spatial Applications
Week 4: Final Exam
If your primary interest in taking this course is getting an overview of SAP HANA spatial capabilities, you do not need access to a training system. However, we realize that many of you will be interested in completing the hands-on exercises based on the instructions in the course. We will provide therefore the necessary instructions and installation procedures in the respective units.
If you would like to enroll for this course, there are no formal prerequisites or limitations. The course is free and open for everyone. Just register for an account on openSAP and go for the course!Enroll me now
This course was held from Apr 25, 2017 through May 24, 2017.
8223 learners enrolled.
This course was rated with 4.45 stars in average from 577 votes.
Markus Fath is a product manager for SAP HANA, focusing on “processing services” related to spatial, graph, search, text analysis, and text mining.