SAP HANA Vora is an in-memory query engine that plugs into the Apache Spark execution framework to provide enriched interactive analytics on data stored in Hadoop. It lets you combine Big Data with corporate data in a way that is both simple and fast.

SAP HANA Vora allows you to process enterprise and Hadoop data cost-effectively for real-time business applications and analytics by providing enterprise-class, drilldown insight into raw data. It also allows you to blend incoming data from customers, partners, and smart devices into enterprise processes by combining business data with external data sources, to make better decisions through greater context.

This is the third course in our SAP HANA Core Knowledge Series, which will give you an insight into some of the core features of SAP HANA.

Course Characteristics

Starting from: September 6, 2016, 09:00 UTC (What does this mean?)

Duration: 3 weeks (2 - 3 hours per week)

Final exam: September 27 - October 5, 2016

Course language: English

How is an openSAP course structured?

Course Content

Week 1: Overview: SAP HANA Vora

Week 2: SAP HANA Vora Data Modeling Tool

Week 3: Development in SAP HANA Vora

Week 4: Final Exam

Target Audience

Data scientists

Application developers

Technical business analysts

Course Requirements

Knowledge of Hadoop and Apache Spark

Training Systems

If your primary interest in taking this course is to get an overview of SAP HANA Vora, you do not need access to a training system. However, we realize that many of you will be interested in completing the hands-on exercises based on the instructions in the course. We will therefore provide the necessary instructions and installation procedures in the respective units.