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To continue our SAP HANA Core Knowledge Series, we’re happy to open enrollment for this new openSAP course, Big Data with SAP HANA Vora. 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. Hadoop (also known as Apache Hadoop) is an open source, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation.
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 Vora. We’ll start with an overview of SAP HANA Vora including Hadoop, Spark, Key features, and SDA and SAP HANA Connectivity. Once you’ve got to grips with the basics, we’ll move on to take a look at the data browser, SQL-Editor, and data modeler. In the final week, we’ll look working with tables and views, loading different data types, working with hierarchies, as well as advanced topics such as partitioning and annotations.
