@theotown
September 20, 2016

Fast Data for Telecommunications: Swisscom Q/A On Choosing Scala And Spark For New Streaming Data Platform

Recently, we published a case study with our customer Swisscom, the leading mobile service provider in Switzerland. While the case study focuses more on the solution and implementation details of how Swisscom used Scala and Spark to build a fast data streaming platform from the ground up in just 9 months, there is more to the story. To get a fuller picture, we sat down with Francois Garillot, Big Data Scientist at Swisscom...

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@myfear
September 9, 2016

Fast Data Architectures For Streaming Applications: free O'Reilly report by Dean Wampler

We are happy to announce the availability of Fast Data Architectures For Streaming Applications, a new O'Reilly report authored by the architect for fast data products at Lightbend, Dean Wampler (@deanwampler). In this report he examines the rise of streaming systems for handling time-sensitive problems —like detecting fraudulent financial activity as it happens. You’ll explore the characteristics of fast data architectures, along with several open source tools for implementing them.

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Fast Forward With Fast Data, Scala and Akka: Q/A with Spark Job Server creator

People love Apache Spark. Typesafe is the official support partner with Databricks, Mesosphere and IBM for Apache Spark. If you’re a Fast Data visionary, then you’re looking for a modern solution to enable your streaming data applications. In today’s DevOps world, you’re looking for a more accessible way to work in particular with Spark Jobs. Instead of directly mingling around with the specific Spark installation, you want to have access to a lot of functions via lightweight protocols remotely. This is the gap that Spark Job Server closes.

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@deanwampler
February 3, 2015

Why Enterprises of different sizes are adopting ‘Fast Data’ with Apache Spark

A couple of weeks ago, Typesafe launched the results of a survey in which over 2000 people were asked about the explosive adoption of Apache Spark. In the Slideshare presentation embedded above, you can see a sneak preview of some of the results of Apache Spark: Preparing for the Next Wave of Reactive Big Databut the full version has a lot more to offer. The Scala community is showing intense interest in Apache Spark as well (according to the report, 88% of Spark users are working in Scala, 44% in Java, 22% in Python). So as resident “Apache Spark guy”, I thought it would be nice to put the popularity of Apache Spark in context, looking at what led us here, how enterprises are reacting, and what the needs of the mid-market really are.

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Ebook

Designing Reactive Systems: The Role Of Actors In Distributed Architecture

by Hugh McKee

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