Dean Wampler, Big Data Architect at Lightbend, presents the evolution of data processing needs and the reasons behind the emergence of Fast Data technologies like Spark, Kafka, Cassandra, Mesos and Reactive Platform technologies such as Akka and Play. 

Lightbend's own Big Data Architect Dean Wampler is giving a session at GOTO Chicago entitled “Scala: The Unpredicted Lingua Franca for Data Science”, complete with a $50 discount code for those able to attend. 

I talked to our Lightbend chief educator, Jamie Allen, for the newest edition of the Lightbend Podcast. He taught me about Microservices, Fast Data and why it's important for a Director to still code. 

In recent years, Fast Data, not Big Data, has been more important to react to real-time events and decision making; slower batch processing of large data sets with Hadoop is not always as important for most SMEs. So if your data pipeline is bloated and ready for an upgrade, this webinar will provide you with an overview of what Spark is and gain an understanding of why it is indeed the right tool to improve your Fast Data strategy.

With this survey, in which over 3000 respondents participated, we we set out to understand the journey of Going Reactive and uncovered some interesting adoption trends around microservices and Fast Data along the way. Big thanks to all of you who participated! We enjoyed pulling this report together and hope you enjoy seeing how your peers are viewing the Reactive landscape.