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Real Time Analytics with SAP Hana

You're reading from   Real Time Analytics with SAP Hana Enhance your SAP HANA skills using this step-by-step guide to creating and reporting data models for real-time analytics

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781782174110
Length 226 pages
Edition 1st Edition
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Author (1):
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Vinay Singh Vinay Singh
Author Profile Icon Vinay Singh
Vinay Singh
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Table of Contents (11) Chapters Close

Preface 1. Kickoff – Before We Start FREE CHAPTER 2. SAP HANA Data Modeling Approach 3. Different Ways of SAP HANA Data Load 4. Creating SAP HANA Artifacts Attribute Views and Analytical Views 5. Creating SAP HANA Artifacts – Analytical Privileges and Calculation Views 6. Understanding Text Search and Hierarchies in SAP HANA 7. Using Decision Tables and Transporting SAP HANA Content 8. Consuming SAP HANA Data Models 9. An Introduction to Application Function Library Index

Defining attribute and key attribute


Click on Semantics | Right-click on Attribute | Add as attribute.

When we click on Semantics, a pop up appears, where we can see all the columns:

We will make BP_ID as key attribute:

Key attributes are used as the keys when we join this attribute with another Attribute or analytic view.

Right-click any attribute | Add as Key Attribute.

In our case, we have taken BP_ID as key attribute, and company, city, e-mail address, and country as attribute.

Creating hierarchies is optional while creating attribute views. In SAP HANA, we can create two types of hierarchies:

  • Level based: This is one to one mapping (one attribute one hierarchy)

  • Parent-child: This is one to many (one attribute can have multiple hierarchy levels)

We will discuss hierarchy separately in the coming chapters. Save the attribute view and then activate it. Only the activated views will be available for the reporting clients and for data preview as well.

We can identify the difference between the...

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