Predictive analytics with Scala and Spark at ING - Intermediate

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ING is a Data Driven Experimental Enterprise, which is heavily investing in big data, analytics and streaming processing. As in many other enterprises, we deal with a large variety of data sources. Some are responsible for primary processes, while others are used to improve the quality of the service and to keep internal operations going on smoothly. The amount of data which must be handled goes beyond the computing performance of single machines, and vertical scalability is hardly an option.

In this talk, Bas will share an overview of the architecture and projects at ING that have Spark at its core: 'Look Ahead' in the mobile app, the 'Actionable Insights' API and others. He will begin with traditional batch processes, touching upon the latest development about big data, data lakes and hadoop, to move further into the world of in-memory analytics. You will be able to discover what's involved in such a programme. You will also explore lessons learned, best practices and code!

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