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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

Basic architecture of the SAP HANA engine


SAP HANA has different engines to process different views. It has the following engines:

  • JOIN engine: This engine is for processing the JOINS (all type of joins)/attribute views

  • OLAP engine: This engine is used to process analytical view

  • CALCULATION engine: This engine is used to process complex calculation that cannot be processed by the JOIN or OLAP engine

It is the SQL optimizer, which sees the models and queries and decides which engine to call.

Any analytic view or attribute view with a calculate attribute will be processed as a calculation view. This should to be taken into consideration during modeling, because it can have a measurable impact on the performance of the data model. Different engines cooperate among themselves as well.

The following figure shows the SAP HANA engines processing different views:

Other than the preceding illustrated engines, we do have a planning engine as well in SAP HANA. The planning engine, allows financial planning...

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