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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 2. SAP HANA Data Modeling Approach FREE CHAPTER 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

Creating hierarchies


Hierarchies are created to maintain data in a structured format, such as maintaining customer or employee data based on their roles and splitting the data based on geographies. Hierarchical data is very useful for organizational purposes during decision making.

Two types of hierarchies can be created in SAP HANA:

  • The level hierarchy

  • Parent-child hierarchy

The hierarchies are initially created in the attribute view and later can be combined in the analytic view or calculation view for consumption in a report as per business requirements. Let's create both types of hierarchies in attribute views.

Creating a level hierarchy

Each level represents a position in the hierarchy. For example, a time dimension might have a hierarchy that represents data at the month, quarter, and year levels. Each level above the base level contains aggregate values for the levels below it.

The following are the steps to create level hierarchy:

  1. Create a new attribute view (for your own practice, I would...

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