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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

Predictive Analysis Library


The Predictive Analysis Library (PAL) defines functions that can be called from within SQLscript procedures to perform analytic algorithms. It includes the following classic and universal predictive analysis algorithms in nine data mining categories:

  • Clustering

  • Association

  • Statistics

  • Classification

  • Time series

  • Social network analysis

  • Regression

  • Preprocessing

  • Miscellaneous

The algorithms in PAL were carefully selected as most of these algorithms are generally available in other database products. Also, these are frequently used and needed for SAP HANA applications.

The following are the prerequisites for using PAL:

  • Install the latest SAP HANA SPS

  • Install the AFL, which includes the PAL

  • Enable the script server in the HANA instance. SAP note 1,650,957 describes its steps.

The revision of the AFL must match the revision of SAP HANA.

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