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!
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!
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Thanks to our sponsors
Predictive analytics with Scala and Spark at ING - Intermediate
Bas Geerdink
Bas is a programmer, scientist, and IT manager. At ING, he is responsible for the Fast Data chapter within the Analytics department. His academic background is in Artificial Intelligence and Informatics. His research on reference architectures for big data solutions was published at the IEEE conference ICITST 2013. Bas has a background in software development, design and architecture with a broad technical view from C++ to Prolog to Scala and is a Spark Certified Developer. He occasionally teaches programming courses and is a regular speaker on conferences and informal meetings.
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)
- Elasticsearch for Developers with Itamar Syn-Hershko (in London on 16th - 18th December 2019)
- µCon London 2020 - The Conference on Microservices, DDD & Software Architecture (in London on 27th - 29th May 2020)
- Keynote by Ryn Daniels on Designing Sustainable Ops Cultures (in London on 21st August 2019)
- Lightbend Scala Language - Professional (in London on 9th - 10th September 2019)
- Lightbend Scala Language - Expert (in London on 11th - 13th September 2019)
- ProgNET London 2019 (in London on 11th - 13th September 2019)
- CloudNative London 2019 (in London on 25th - 27th September 2019)
- You got served: How Deliveroo improved the ranking of restaurants (in London on 27th August 2019)
- London Java Community August Meetup (in London on 28th August 2019)
- The Last Frontier and Beyond (SkillsCast recorded in August 2019)
- A Machine That Predicts the Global Economy in Real-Time (SkillsCast recorded in July 2019)
Thanks to our sponsors
Predictive analytics with Scala and Spark at ING - Intermediate
Bas Geerdink
Bas is a programmer, scientist, and IT manager. At ING, he is responsible for the Fast Data chapter within the Analytics department. His academic background is in Artificial Intelligence and Informatics. His research on reference architectures for big data solutions was published at the IEEE conference ICITST 2013. Bas has a background in software development, design and architecture with a broad technical view from C++ to Prolog to Scala and is a Spark Certified Developer. He occasionally teaches programming courses and is a regular speaker on conferences and informal meetings.