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

SAP Replication Server


Lets see in brief about another tools from SAP for Data Load. We will not go in detail but have quick look at the basic features and concepts of SAP Replication Server. SAP Replication Server is a log-based database replication tool, and can be used to provision data into a SAP HANA database. The salient features of SAP Replication Server are:

  • Bidirectional replication is possible with a standby database always available for read-only reports

  • It supports multisite availability, and distributes and synchronizes data across the globe to multiple systems

  • Multipath replication is supported from ASE and Oracle

  • It supports direct load (no materialization queues are created) to get a better performance

  • There is real-time availability of application data to reporting servers and data warehouses

  • It enables high availability and disaster recovery for global enterprises

  • It migrates data to new databases, hardware, or OS platforms

  • Since it works on a log-based mechanism, its performance...