WEBINAR REPLAY  fast-data, akka

Building Streaming and Fast Data Applications with Spark, Mesos, Akka, Cassandra and Kafka

With Sean Glover, Senior Consultant at Lightbend, Inc.

It’s become clear to many business that the ability to extract real-time actionable insights from data is not only a source of competitive advantage, but also a way to defend their existing business models from disruption. So while legacy models such as nightly batch jobs aren’t disappearing, an era of fast, streaming data (aka “Fast Data”) is upon us, and represents the state of the art for gaining real-time perishable insights that can then be used to serve existing customers better, acquiring new markets and keep the competition at bay.

That said, distributed, Fast Data architectures are much harder to build, and carry their own set of challenges. Enterprises looking to move quickly are presented with a growing ecosystem of technologies, which often delays fast decisions and provides its own set of risks:

  • With so many choices, what tools should you use?
  • How do you avoid making rookie mistakes?
  • What are the best patterns and practices for streaming applications?

In this webinar with Sean Glover, Senior Consultant at Lightbend and industry veteran, we examine the rise of streaming systems built around Spark, Mesos, Akka, Cassandra and Kafka, their role in handling endless streams of data to gain real-time insights. Sean then reviews how the Lightbend Fast Data Platform (FDP) brings them together in a comprehensive, easy to use, integrated platform, which includes installation, integration, and monitoring tools tuned for various deployment scenarios, plus sample applications.



WEBINAR REPLAY  fast-data, akka

Building Streaming and Fast Data Applications with Spark, Mesos, Akka, Cassandra and Kafka

With Sean Glover, Senior Consultant at Lightbend, Inc. and Duncan DeVore, Senior Software Engineer, at Lightbend, Inc.

It’s become clear to many business that the ability to extract real-time actionable insights from data is not only a source of competitive advantage, but also a way to defend their existing business models from disruption. So while legacy models such as nightly batch jobs aren’t disappearing, an era of fast, streaming data (aka “Fast Data”) is upon us, and represents the state of the art for gaining real-time perishable insights that can then be used to serve existing customers better, acquiring new markets and keep the competition at bay.

That said, distributed, Fast Data architectures are much harder to build, and carry their own set of challenges. Enterprises looking to move quickly are presented with a growing ecosystem of technologies, which often delays fast decisions and provides its own set of risks:

  • With so many choices, what tools should you use?
  • How do you avoid making rookie mistakes?
  • What are the best patterns and practices for streaming applications?

In this webinar with Sean Glover, Senior Consultant at Lightbend and industry veteran, we examine the rise of streaming systems built around Spark, Mesos, Akka, Cassandra and Kafka, their role in handling endless streams of data to gain real-time insights. Sean then reviews how the Lightbend Fast Data Platform (FDP) brings them together in a comprehensive, easy to use, integrated platform, which includes installation, integration, and monitoring tools tuned for various deployment scenarios, plus sample applications.



SUBSCRIBE

SHARE

About Presenter

Sean Glover, Senior Consultant at Lightbend, Inc.

Sean has over 10 years of professional software development experience and is currently specializing in Scala, Spark, Kafka, Cassandra, and Akka. He has a passion for Scala and is an organizer of the Scala Toronto and Toronto Apache Spark meetups. He has a lifelong love of technology and keeps up-to-date by speaking at events, organizing local tech meetups, blogging, self-study and personal software projects.

About Presenters

Sean Glover, Senior Consultant at Lightbend, Inc.

Sean has over 10 years of professional software development experience and is currently specializing in Scala, Spark, Kafka, Cassandra, and Akka. He has a passion for Scala and is an organizer of the Scala Toronto and Toronto Apache Spark meetups. He has a lifelong love of technology and keeps up-to-date by speaking at events, organizing local tech meetups, blogging, self-study and personal software projects.

Duncan DeVore, Senior Software Engineer, at Lightbend, Inc.

Duncan DeVore is co-author of "Reactive Application Development", Senior Software Engineer at Lightbend on the monitoring team, open source developer and frequent speaker. He has been an avid Scala developer since 2009, holds two patents for software design and led the release of one of the first large-scale Reactive applications in 2012.

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