Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Evan Chan

Evan Chan
Distinguished Software Engineer, Tuplejump

Website | @evanfchan

Evan Chan is a distinguished software engineer at Tuplejump. 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. Evan is an active contributor to the Apache Spark project, a DataStax Cassandra MVP, and cocreator and maintainer of the open source Spark Job Server. 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.

Sessions

11:50am–12:30pm Wednesday, 03/30/2016
Data Innovations

Location: 210 D/H
Tags: real-time
Helena Edelson (Apple), Evan Chan (Tuplejump)
Average rating: ***..
(3.85, 13 ratings)
Developers who want both streaming analytics and ad hoc, OLAP-like analysis have often had to develop complex architectures such as Lambda. Helena Edelson and Evan Chan highlight a much simpler approach using the NoLambda stack (Apache Spark/Scala, Mesos, Akka, Cassandra, Kafka) plus FiloDB, a new entrant to the distributed-database world, which combines streaming and ad hoc analytics. Read more.