WEBINAR REPLAY 

Executive Briefing: What Is Fast Data And Why Is It Important?

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

About This Webinar

Streaming data systems, so called Fast Data, promise accelerated access to information, leading to new innovations and competitive advantages. These systems, however, aren’t just faster versions of Big Data; they force architecture changes to meet new demands for reliability and dynamic scalability, more like microservices.

This means new challenges for your organization. Whereas a batch job might run for hours, a stream processing application might run for weeks or months. This raises the bar for making these systems resilient against traffic spikes, hardware and network failures, and so forth. The good news is that there is a strong history of facing these demands in the world of microservices.

In this webinar by Dr. Dean Wampler, VP of Fast Data Architecture at Lightbend, Inc., we will cut through the buzz around Fast Data and explore how to successfully exploit this new opportunity for innovation in how your organization leverages data. Specifically, Dean will review:

  • The business justification for transitioning from batch-oriented big data to stream-oriented fast data
  • The architectural and organizational changes that streaming systems require to meet their higher demands for reliability, resiliency, dynamic scalability, etc.
  • How some of these requirements can be met by leveraging what your organization already knows about microservice architectures


WEBINAR REPLAY 

Executive Briefing: What Is Fast Data And Why Is It Important?

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

About This Webinar

Streaming data systems, so called Fast Data, promise accelerated access to information, leading to new innovations and competitive advantages. These systems, however, aren’t just faster versions of Big Data; they force architecture changes to meet new demands for reliability and dynamic scalability, more like microservices.

This means new challenges for your organization. Whereas a batch job might run for hours, a stream processing application might run for weeks or months. This raises the bar for making these systems resilient against traffic spikes, hardware and network failures, and so forth. The good news is that there is a strong history of facing these demands in the world of microservices.

In this webinar by Dr. Dean Wampler, VP of Fast Data Architecture at Lightbend, Inc., we will cut through the buzz around Fast Data and explore how to successfully exploit this new opportunity for innovation in how your organization leverages data. Specifically, Dean will review:

  • The business justification for transitioning from batch-oriented big data to stream-oriented fast data
  • The architectural and organizational changes that streaming systems require to meet their higher demands for reliability, resiliency, dynamic scalability, etc.
  • How some of these requirements can be met by leveraging what your organization already knows about microservice architectures


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About Presenter

With 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 Presenters

With 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