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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

Different schemas in SAP HANA

Schemas are used to categorize database content according to customer defined groupings that have a particular meaning for users. Schemas also help to define access rights to the database objects. Schemas can help identify which tables to use when defining information models. But a model can incorporate tables from multiple schemas, which are:

  • System defined
  • User defined
  • SLT derived schemas

System defined schemas are delivered with the SAP HANA database and contain the HANA system's information. These are system schemas such as _SYS_BIC, _SYS_BI, _SYS_REPO, _SYS_STATISTICS, and so on.

Let's see more about these system defined schemas:

  • _SYS_BIC: This schema contains all the column views of activated objects. When the user activates any of the views, say the attribute view/analytical view / the calculation view, the respective runtime objects are created under the _SYS_BIC column view.
  • _SYS_REPO: This contains a list of activated objects, inactive objects...
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