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:
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, and their role in handling endless streams of data to gain real-time insights. Sean then reviews how 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.
The goal of Lightbend FDP is to take away the pain of creating and managing clusters and the streaming applications that run on them. FDP packages together robust OSS tools, commercial modules and best practices for solving typical streaming design problems. To meet the advanced needs of enterprises, FDP offers:
If your team doesn't have months to get started with your streaming and Fast Data projects, look into our FDP Early Access Program: