There is a fundamental shift occurring in Big Data, from data at rest to data in motion. In this white paper, Dean Wampler explores the ecosystem that is emerging around Fast Data and provides handy diagrams and code samples to help you:
- Understand the Fast Data architecture and the role of Kafka, Cassandra and Spark
- Discover when mini-batch processing is sufficient and when real-time event processing is required
- Learn the difference between conventional and Reactive Streams and how Spark Streaming is going Reactive
Because Spark is implemented in Scala and leverages Akka, it presents a logical consistent extension to the Lightbend Reactive Platform. Take a closer look to learn how you can leverage Fast Data in your Reactive applications.
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