Please log in to watch this conference skillscast.

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!

The Call for Papers is now open for Scala eXchange 2017! Submit your talk for the chance to join a stellar line-up of experts on stage. Find out more.

Get your tickets for Scala eXchange 2017!

YOU MAY ALSO LIKE:

• Lightning Talks 2 (SkillsCast recorded in December 2015)
• Digital Discrimination: Cognitive Bias in Machine Learning (in Online Event on 4th June 2020)
• Love the Brain You're In (SkillsCast recorded in October 2019)
• Creating smaller, faster, production-worthy mobile machine learning models for Android (SkillsCast recorded in October 2019)