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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 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

Creating filters


The first question that comes to our mind is why do we need filters? As discussed in Chapter 2, SAP HANA Data Modeling Approach, Modeling Principles section—consideration to make in Chapter 1, Kickoff – Before We Start: The idea is to filter the data at the lowest layer and only bring the data that is actually required by the query. (Quoting it from Chapter 1, Kickoff – Before We Start).That is, we should try to reduce data transfer between the engines. This can be achieved using the following steps:

  1. Creating client dependent views: The data is automatically filtered to one client.

  2. Using domain fix values: This can be used for several fields.

  3. Creating filters: This is defined during design time.

  4. Creating and using the WHERE clauses in queries: This is defined at the runtime of the SQL query.

Using the preceding steps not only ensures that we minimize data transfer between the engines, but also helps to reduce the larger result sets between the HANA database and the client/application...

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