Want the latest and greatest info on advanced SAP HANA data modeling from the SAP HANA architects at SAP Labs in Palo Alto? Then this is the only book for you. Through step-by-step instructions and screenshots, this book will teach you how to 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.Complex LogicLearn how to design SAP HANA data models to represent complex business logic, through practical examples and step-by-step modeling how-tos. Predictive ModelingUse PAL and R to build advanced predictive models that make the most of SAP HANA’s predictive power. Performance TuningDiscover basic tuning techniques for your SAP HANA data models, such as avoiding long join paths, defining partitions, pushing down filters, and more. Highlights:
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Anil Babu Ankisettipalli is a post graduate in computer applications and has more than 17 years of experience in developing application and technology software. Since 2010, he has designed and developed SAP HANA applications and products using predictive analytics, machine learning, and data mining algorithms. At SAP Labs, he uses data science and big data technologies within the SAP HANA platform to solve critical problems of SAP customers.
Hansen Chen is an experienced database expert and graduate of Peking University in China. In 2006 he joined Business Objects, where he worked on Web Intelligence and the semantic layer. He joined the SAP Strategic Customer Engagements group as a senior specialist in 2011, and worked with customers in co-innovation projects on top of the SAP HANA platform. His specific area of SAP HANA focus is on modeling and performance tuning.
Pranav Wankawala has more than 13 years of experience in software engineering and developing enterprise applications. He started working on SAP HANA in 2009, when it was still a research project, and designed and architected one of the first SAP products that ran on the platform. During his tenure at SAP, he lead a team of highly skilled engineers and technologists that helped SAP customers improve their day-to-day business with SAP HANA. Today, Pranav is a director of engineering at PredictSpring, a company that is revolutionizing the way mobile commerce works.
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