Building Streaming And Fast Data Applications With Spark, Mesos, Akka, Cassandra And Kafka

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, and 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.

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Introducing Lightbend Fast Data Platform: A Guided Way To Manage Data In Motion For Streaming Applications

Companies are moving from systems designed for data "at rest" in data warehouses and embracing the value of data "in motion" at the edge–whether from user data, sensors or humans. Extracting information from incoming data as quickly as possible has become a competitive advantage. Stream processing is the best option and it has sparked new tools, frameworks, and architecture patterns for developers creating applications and systems designed specifically for real-time data. 

I sat down with Dr. Dean Wampler, Office of the CTO and Big Data Architect at Lightbend, we discuss how streaming data is shaking things up, and how the upcoming Lightbend Fast Data Platform is bringing Fast Data to enterprises looking to modernize today.

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Event

SUPER EARLY BIRD TICKETS

REACTIVE SUMMIT 2017
Austin (TX) - October 18-20

Ebook

Reactive Microservices Architecture

by Jonas Bonér

Ebook

Fast Data Architectures For Streaming Applications

by Dean Wampler

Report

Enterprise Development Trends 2016

Cloud, Container and Microservices Insights from 2100 JVM Developers

Infoguide

Lightbend Reactive Platform

A High-Level Technical Overview For Decision Makers