All-Star Cassandra/Spark Night at ING

We are delighted to announce 3 amazing international speakers for this Meetup! We are very lucky to have 2 Cassandra Evangelists and 1 DataStax Cassandra MVP

Schedule:

• 18.00-18.40 Reception

• 18.40-19.20 Presentation 1

• 19:20-20.00 Presentation 2

• 20:00-20:20 Break

• 20.20-21.00 Presentation 3

• 21.00-22.00 Drinks

Location:

Full details regarding the location: ING - Route description (http://www.ing.com/web/file?uuid=49188d65-2345-4823-af51-7a0b9d0a157b&owner=2abed2fc-485d-445b-b783-13ee02cac77d)

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.

Speakers:

Evan Chan - DataStax Cassandra MVP

Abstract: FiloDB: Fast Ad-Hoc Analytics on Cassandra and Spark
Everyone thinks of Apache Cassandra as a great database for ingesting real-time event and time-series data, but not so much for ad-hoc analytics. Do I have to export my data to Hadoop for fast ad hoc and OLAP-style analysis? No! Find out how to leverage Cassandra, Spark, and the new database, FiloDB, to speed up ad hoc analysis on your Cassandra data, much faster than you thought possible. We will discuss options for speeding up Spark analytics on Cassandra, including caching options in Spark, the use of columnar storage, and future advances such as Project Tungsten.

Bio:
Evan loves to design, build, and improve bleeding-edge distributed data and backend systems using the latest open source technologies. He has led the design and implementation of multiple big data platforms based on Storm, Spark, Kafka, Cassandra, and Scala/Akka, including a columnar real-time distributed query engine. He is an active contributor to the Apache Spark project, a Datastax Cassandra MVP, and co-creator and maintainer of the open-source "Spark Job Server": http://github.com/spark-jobserver/spark-jobserver . He is a big believer in GitHub, open source, and meetups, and has given talks at various conferences including Spark Summit, Cassandra Summit, FOSS4G, and Scala Days.

Jon Haddad - Technical Evangelist

Diagnosing Problems In Production

Abstract: This sessions covers diagnosing and solving common problems encountered in production, using performance profiling tools. We’ll also give a crash course to basic JVM garbage collection tuning. Attendees will leave with a better understanding of what they should look for when they encounter problems with their in-production Cassandra cluster. This talk is intended for people with a general understanding of Cassandra, but it not required to have experience running it in production.
Bio: Jon has 15 years experience in both development and operations. For 10 years he’s worked at various startups in southern California. For 2 years he had been the maintainer of cqlengine, the Python object mapper for Cassandra, now integrated into the native Cassandra driver. He's now a Technical Evangelist at Datastax, continuing to focus on advancing Cassandra in the Python, operations and data science communities. Jon holds a degree in Computer Science from the University of Vermont.

Patrick McFadin - Chief Evangelist

Cassandra 3.0: The Past, Present and Future

Abstract:
At the time of this talk, Cassandra 3.0 should be in GA (or really close!) This is a major milestone release with a large part of the Cassandra legacy retired or frozen. So what do we have today and how will this help you build the next killer app? Finally, we'll look at the future of Cassandra and what possibilities the changes planned for beyond 3.0 and what it says about the future of the project.

Bio:
Patrick McFadin is one of the leading experts of Apache Cassandra and data modeling techniques. As the Chief Evangelist for Apache Cassandra and consultant for DataStax, he has helped build some of the largest and exciting deployments in production. Previous to DataStax, he was Chief Architect at Hobsons, an education services company. There, he spoke often on Web Application design and performance.