Book Image

Real Time Analytics with SAP Hana

By : Vinay Singh
Book Image

Real Time Analytics with SAP Hana

By: Vinay Singh

Overview of this book

SAP HANA is an in-memory database created by SAP. SAP HANA breaks traditional database barriers to simplify IT landscapes, eliminating data preparation, pre-aggregation, and tuning. SAP HANA and in-memory computing allow you to instantly access huge volumes of structured and unstructured data, including text data, from different sources. Starting with data modeling, this fast-paced guide shows you how to add a system to SAP HANA Studio, create a schema, packages, and delivery unit. Moving on, you’ll get an understanding of real-time replication via SLT and learn how to use SAP HANA Studio to perform this. We’ll also have a quick look at SAP Business Object DATA service and SAP Direct Extractor for Data Load. After that, you will learn to create HANA artifacts—Analytical Privileges and Calculation View. At the end of the book, we will explore the SMART DATA access option and AFL library, and finally deliver pre-packaged functionality that can be used to build information models faster and easier.
Table of Contents (16 chapters)
Real Time Analytics with SAP HANA
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Connecting to the SAP HANA database


SAP HANA supports various connectivity choices. These can be categorized as follows:

  • BI Consumer Services (BICS): This is the SAP Proprietary interface that offers advantages for OLAP access over MDX on multidimensional reporting objects.

  • Open Database connectivity (ODBC): This is widely used across the industry. Database requests are made via SQL.

  • Java Database connectivity (JDBC): This is mostly popular with the Unix platform used for relational reporting

  • ODBO: OLE DB for OLAP-MDX, multi-dimensional expression, is used to send the request

The following illustration shows the different connectivity options supported for frontend tools connecting to SAP HANA: