Real-time Analytics using Cassandra, Spark and Shark at Ooyala

In this talk, Evan Chan, Software Engineer at Ooyala, presents on real-time analytics using Cassandra, Spark & Shark at Ooyala. He offers a review of the Cassandra analytics landscape (Hadoop & HIVE), goes over custom input formats to extract data from Cassandra, and shows how Spark & Shark increase query speed and productivity over standard solutions. This talk was recorded at the DataStax Cassandra South Bay Users meetup at Ooyala.

31:27

More Info: This session covers Evan's experiences with using the Spark and Shark frameworks for running real-time queries on top of Cassandra data. Evan starts by surveying the current Cassandra analytics landscape, including Hadoop and HIVE, and touches on the use of custom input formats to extract data from Cassandra. He then dives into Spark and Shark, two memory-based cluster computing frameworks, and how they enable often dramatic improvements in query speed and productivity, over the standard solutions today.

Bio: Evan Chan is a Software Engineer at Ooyala. In his own words: I love to design, build, and improve bleeding edge distributed data and backend systems using the latest in open source technologies. I am a big believer in GitHub, open source, and meetups, and have given talks at conferences such as the Cassandra Summit 2013.