Past Meetup

A night of Cassandra and Spark at ING

This Meetup is past

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ING - Amsterdamse Poort

Bijlmerplein 888 · 1102 MG Amsterdam ZO

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ING is really excited to have DuyHai Doan over with us for the next MeetUp. We will focus specifically on Cassandra and Spark using DSE.


18:00 – 19:00: Reception(with food/beverages)

19:00 – 20:15: Fast Track to getting started with DSE Max (Cassandra and Spark) - Datastax – DuyHai Doan

20:15 – 20:30: Coffee break / Cigarette break

20:30 – 21:15: Streaming analytics with Spark and Cassandra - ING – Natalino Busa

21:15 – 22:00: Drinks

DuyHai Doan - Datastax

Title: Fast Track to getting started with DSE Max (Cassandra and Spark)


DuyHai Doan is a Cassandra technical advocate. He spends his time between technical presentations/meetups on Cassandra, coding on open source projects to support the community and helping all companies using Cassandra to make their project successful. Previously he was working as a freelance Java/Cassandra consultant.


Apache Spark is a general data processing framework which allows you perform map-reduce tasks (but not only) in memory. Apache Cassandra is a highly available and massively scalable NoSQL data-store. By combining Spark flexible API and Cassandra performance, we get an interesting alternative to the Hadoop eco-system for both real-time and batch processing. During this talk we will highlight the tight integration between Spark and Cassandra and demonstrate some usages with live code demo.

Natalino Busa - ING

Title: Streaming analytics with Spark and Cassandra

BIO: Natalino leads the definition, design and implementation of big/fast data solutions for data-driven applications, such as personalized marketing and predictive analytics.

All-round Software Architect, Data Technologist, Innovator, with 15+ years experience in research, development and management of distributed architectures and scaleable services and applications.

Cassandra is a good candidate to store time series. By adding Spark to the picture, it is possible to create real-time, continuous data transformations on the incoming data events. In this talk, we will look at how to setup a streaming, real-time machine learning pipeline by combining spark streaming with events. Spark and Cassandra provide a good alternative to traditional big data architectures based on Hadoop, by bringing the operational and the analytic world closer to each other, as different elements of a distributed in-memory solution.

Transportation Details:

Full details regarding the location: ING - Route description (

Please let us know if you require a parking space and we will try our best to arrange a parking space. ING staff will need to arrange their own parking space.