* 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 of out of your SAP HANA models
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.
Predictive Modeling
Use PAL and R to build advanced predictive models that make the most of SAP HANA's predictive power.
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.
* 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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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 12 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. Today, he leads a team of highly skilled engineers and technologists that help SAP customers improve their day-to-day business with SAP HANA.
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