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

Different modeling artifacts in SAP HANA


Before creating a new SAP HANA modeling artifact it is of paramount importance to know which types of modeling artifacts will be suitable for our business need. Depending on the scenario you are working in, your choice might vary. Factors that should be taken into consideration are:

  • The write- or read-intensive scenario, so as to decide between column and row storage

  • Data access need and resources for the replication method available

  • The application or client to be supported with your information model as different clients expose/consume data differently

  • Performance and functionality, as not all views can give the same functionality or performance

The first thing we need to decide is do we need a column table or row store. Once we have decided, we can have a glance at the following table and choose the views, if our requirement can be fulfilled by any of these:

 

Column table

Analytical view

Calculation view (SQL)

Calculation view (CE function )

Scenario...