SAP HANA Advanced Data Modeling

Cover of SAP HANA Advanced Data Modeling

SAP HANA Advanced Data Modeling

written by Anil Babu Ankisettipalli, Hansen Chen, Pranav Wankawala
If you’re looking to move past the SAP HANA basics and get knee-deep into some real data model design, you’ve come to the right place. With step-by-step instructions and sample coding, this book will teach you how to build and design predictive, simulation, and optimization models. From information views to AFL models, you’ll learn to scale for large datasets and performance-tune your models to perfection.
  • Learn how to model complex logic in SAP HANA
  • Build predictive models with R, PAL, and more
  • Use performance tuning tools to get the most out of your SAP HANA models

In this book, you’ll learn:

  1. Complex Logic

    Learn how to design SAP HANA data models to represent complex business logic, through practical examples and step-by-step modeling how-tos.

  2. Predictive Modeling

    Use PAL and R to build advanced predictive models that make the most of SAP HANA’s predictive power.

  3. Performance Tuning

    Discover basic tuning techniques for your SAP HANA data models, such as avoiding long join paths, defining partitions, pushing down filters, and more.

Highlights include:

  • Basic and advanced predictive modeling
  • SAP HANA modeling paradigms
  • Complex business logic
  • Analytic, attribute, and calculation views
  • Application Function Library models
  • PAL
  • SQL
  • R procedures
  • Simulations and optimization
  • Performance tuning
  • SAP HANA database

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