Move beyond the SAP HANA basics!
SAP HANA Advanced Data Modeling
SAP PRESS, ISBN 978-1-4932-1236-1
E-Book-Formate: PDF, EPUB, MOBI, Online
SAP PRESS, ISBN 978-1-4932-1237-8
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
Simulations and Optimizations: Chapter 6
In Chapter 6, you will follow along with a comprehensive case study using the Monte Carlo simulation to calculate value-at-risk, and advanced operations for investment portfolio optimization. The following materials were used by the authors to create the models found in this chapter.
In this book, you'll learn:
Learn how to design SAP HANA data models to represent complex business logic, through practical examples and step-by-step modeling how-tos.
Use PAL and R to build advanced predictive models that make the most of SAP HANA’s predictive power.
Discover basic tuning techniques for your SAP HANA data models, such as avoiding long join paths, defining partitions, pushing down filters, and more.
- Basic and advanced predictive modeling
- SAP HANA modeling paradigms
- Complex business logic
- Analytic, attribute, and calculation views
- Application Function Library models
- R procedures
- Simulations and optimization
- Performance tuning
- SAP HANA database
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