Fast Data: Big Data Evolved

Dean Wampler, Ph.D., VP of Fast Data Engineering at Lightbend, Inc.


Technical level:

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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Dean Wampler, Ph.D., VP of Fast Data Engineering at Lightbend, Inc.

Dean Wampler, Ph.D. is the Vice President of Fast Data Engineering at Lightbend, where he leads the creation of the Lightbend Fast Data Platform, a streaming data platform built on the Lightbend Reactive Platform, Kafka, Spark, Flink, and Mesosphere DC/OS. Dean is the author of Programming Scala and Functional Programming for Java Developers and the coauthor of Programming Hive, all from O’Reilly. He is a contributor to several open source projects and he is the co-organizer of several conferences around the world and several user groups in Chicago.

About Lightbend

Lightbend (@Lightbend) is leading the enterprise transformation toward real-time, cloud-native applications. Lightbend Platform provides scalable, high-performance microservices frameworks and streaming engines for building data-centric systems that are optimized to run on cloud-native infrastructure. The most admired brands around the globe are transforming their businesses with Lightbend, engaging billions of users every day through software that is changing the world. For more information, visit lightbend.com.