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

Chapter 9. An Introduction to Application Function Library

In this last chapter, we will be introduced to various library functions that SAP HANA has. We will look at its benefits and the various aspects related to it. We will also see what the predelivered, commonly utilized business and predictive algorithms are.

After completing this chapter, you should be able to:

  • Understand the application function library

  • Understand the predictive analysis library

  • Use the business function library

One of the core concepts of SAP HANA is to move application logic into the database, and to do so, it provides several techniques. One of the most important of these techniques is the use of application functions. Application functions are like database procedures written in C++ and are called from outside to perform data-intensive and complex operations. An Application Function Library contains the Predictive Analysis Library and Business Function Library components.