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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

JOINS in SAP HANA

To address some specific business cases and have improved execution, SAP HANA introduces some additional JOINS on top of existing SQL JOINS. These SAP HANA specific JOINS are as follows:

  • Referential JOIN
  • Text JOIN
  • Temporal JOIN
  • Star JOIN
  • Spatial JOIN

Let's see the scenarios when we should consider using these SAP HANA specific JOINS :

Type

Scenario / use case

Remarks

Referential JOIN

Facts with matching dimensions only where referential integrity is ensured.

It's the default join type in SAP HANA.

Facts returned are dependent on queried attributes.

Text JOIN

Multi language table.

Needs a language column.

Behaves as the left outer join.

Temporal JOIN

A key date within a validity period.

Acts as a referential join.

Star JOIN

Star schema scenarios.

Needs data organized in a star schema.

All attributes and hierarchies are included.

Spatial join

Geospatial data.

Only available in calculation views.

You have been reading a chapter from
Real Time Analytics with SAP Hana
Published in: Oct 2015
Publisher:
ISBN-13: 9781782174110
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