Getting Started with Spark

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


Technical level:

If you are exploring Big Data and wondering if Spark is right for your Reactive application, this white paper is for you. It provides an insightful overview of new trends in Big Data and includes handy diagrams of representative architectures, such as:

  • Hadoop with MapReduce and Spark
  • Event streaming Reactive applications built with the Lightbend Reactive Platform
  • Streaming data with a combination of Akka and Spark

Because Spark is implemented in Scala and leverages Akka, it presents a logically consistent extension to the Lightbend Reactive Platform. Take a closer look to see if Spark and Lightbend are the right combination for your Big Data application.

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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 (Twitter: @Lightbend) provides the leading Reactive application development platform for building distributed systems. Based on a message-driven runtime, these distributed systems, which include microservices and streaming fast data applications, can effortlessly scale on multi-core and cloud architectures. Many of the most admired brands around the globe are transforming their businesses with our platform, engaging billions of users every day through software that is changing the world. For more information on Lightbend, visit: lightbend.com