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

Creating package and delivery unit


Package is a repository used to organize various modeling artifacts along with other modeling objects such as analytical privileges and procedures. It is assigned to a delivery unit so as to transport the objects it contains to another environment.

We can create a package as illustrated in the following screenshot:

Creating a new Package

Points to remember while creating a new package:

  • Create one top-level package for all of the customer's content (if acceptable to the customer).

  • Create a subpackage for the content you will deploy in the project. This could be on the basis of different scrum teams or application areas.

  • Multiple subpackages might be created, if required or desired, to organize a large amount of content.

  • Create one top-level package called dev (or development) for work in progress.

  • Create a subpackage for each developer such as task in SAP R/3.

  • Create all analytical and calculation views under these play area packages.

  • Once the development is complete...