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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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Toc

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 analytical views


Analytical views are star schema/fact tables with dimensions, calculation, or restricted measures. Analytic views can contain two types of columns: attributes and measures. As discussed previously, measures are simple, calculated, or restricted. If analytic views are used in the SQL statements, then the measures have to be aggregated. For example, using the SQL functions SUM(<column name>), MIN(<column name>), or MAX(<column name>). Normal columns can be handled as regular attributes and do not need to be aggregated.

Analytical views can be:

  • Simple analytical view using database tables

  • Enhanced analytical view with attribute view (star schema)

Steps to create analytical view are as follows:

  1. Go to Quick Launch and click on Analytical View, or in the system view, right-click on your package | New | Analytic View:

    Fill the details as asked in the following screenshot:

    Provide the technical name. Also select whether you are going to create a new analytical...

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