Combining batch and stream analytics with Apache Spark and Apache Cassandra
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This talk will explore: an overview of Cassandra and how to model time series data, hooking up Spark stream processing to do on-the-fly aggregates, and running Spark batch jobs.
Oh and did Christopher mention? It's all in Scala.
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Combining batch and stream analytics with Apache Spark and Apache Cassandra
Christopher Batey
Christopher is a Senior Engineer at Lightbend. He is currently on the core Akka team responsible for developing Akka (https://akka.io/), Akka Http, Akka Streams, Reactive Kafka and Alpakka (https://github.com/akka/alpakka). He has previously built trading systems, online television platforms and worked extensively with Apache Cassandra. Likes: Scala, Java, the JVM, Akka, distributed databases, XP, TDD, Pairing. Dislikes: Untested software and code ownership.