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

Summary


With this chapter, we set the base for the book. It was expected that you already knew these topics and the chapter refreshed them for you. We started with the basics of SQL and how to use SAP HANA SQL statements. We progressed to create SQLscript and procedure. Towards the closure of the chapter, you learned about additional JOINS that SAP HANA has to improve business scenarios, and we closed the chapter with a discussion on Union and JOINS.

In the next chapter, we will cover the approach to SAP HANA data modeling and the dos and don'ts while creating data models. You will also learn which kind of view should be created for different types of information.