As our partnership with O'Reilly grows, Lightbend is happy to present you with an exclusive preview edition of "Learning Spark Streaming", Chapters 1 and 2.

In this webinar, Lightbend’s Senior Product Director, Craig Blitz reviews five early challenges enterprises face when building streaming and Fast Data systems, what to consider and how Lightbend aims to make these choices more straightforward with our upcoming Fast Data Platform.

This article takes a deeper look at how three traditional, brick-and-mortar style businesses–Norwegian Cruise Lines, Swisscom and UniCredit Group–crossed the chasm into Fast Data with technologies, support and services from Lightbend.

In this new white paper, we outline the functions a modern monitoring solution must perform in order to truly benefit from the advantages promised by Fast Data and streaming applications.

In this Lightbend webinar, we present what to look for in an effective monitoring solution for streaming and Fast Data applications, including a demo of Lightbend Monitoring using sample scenarios to show how we can help your team not just in production, but also during development to catch performance issues before you even deploy.

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.

In this webinar, Lightbend’s Big Data Architect, Dr. Dean Wampler, examines the rise of streaming systems for handling time-sensitive problems, exploring the characteristics of fast data architectures and the open source tools for implementing them.

Our Fast Data team at Lightbend has helped create a lot of different services, webinars, books and reports over the last year, so we made a special "mega-pack" of 7 resources to help you get exactly what you need....

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...

Dean Wampler, Big Data Architect at Lightbend, presents the evolution of data processing needs and the reasons behind the emergence of Fast Data technologies like Spark, Kafka, Cassandra, Mesos and Reactive Platform technologies such as Akka and Play. 

Having a team adopt new technologies and approaches to software development is a daunting task.  New paradigms and unfamiliar ontologies headline the biggest risks to having a team be productive quickly.  Lightbend has a suite of training classes to help you adopt whatever components of Reactive Platform you need to be responsive to you customers by creating resilient and elastic applications.

In recent years, Fast Data, not Big Data, has been more important to react to real-time events and decision making; slower batch processing of large data sets with Hadoop is not always as important for most SMEs. So if your data pipeline is bloated and ready for an upgrade, this webinar will provide you with an overview of what Spark is and gain an understanding of why it is indeed the right tool to improve your Fast Data strategy.

For this Typesafe Podcast, I sourced a new team expert to teach me about a tool I hadn't grasped yet. I like that Justin got out info both to the data scientists and to Java devs. Spark speaks to both!

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.

Were you able to attend our latest webinar? If not, here's your chance to catch our educational go-to guy get excited about the lastest in our Reactive Platform. Typesafe’s Senior Director of Global Services, Jamie Allen, walks you through Reactive Platform 1.0, with added features for more elasticity and resilience to address the challenges of today's main business requirements.

Flex your Big Data muscles with Sparkathon: It's Raining Data, a big data hackathon for IBM Bluemix with $30,000 in awards and sponsored by IBM, Typesafe and the NYC Data Science Academy.

If there’s one thing that’s clear this fall, it’s that conference season is in full swing. With Typesafers attending JavaOne in San Francisco, Spark Summit in Amsterdam, W-JAX in Munich, Devoxx in Belgium, YOW in Australia, Gartner Summit in Las Vegas, Scala eXchange in London and more popping on our calendars by the minute, our dance card is pretty full. That said, sometimes certain events come up that just catch your eye and you must make time for them.

Today, it's my personal (me, as a person named Tonya Rae Moore who is typing this for you to read) pleasure to unveil the first ever Typesafe Ask Me Anything (AMA) Podcast feat. the Typesafe experts.

Let's talk about Spark. In this fantastic webinar, Iulian Dragos, Spark team lead at Typesafe, shows how Typesafe supports running Spark in various deployment modes. He also discusses the improvements we recently made to Spark to help integrate backpressure signals into the underlying technologies, making it a better (dare we say AWESOME?) fit for Reactive Streams. He'll show you how to deploy Spark in various deployment modes: Standalone, Spark on Mesos, and Spark with Mesosphere’s Datacenter Operating Systems (DCOS). This last option is especially helpful for our customers in need of support. Typsesafe is proud to be the official commercial support provider of Spark on Apache Mesos, along with DCOS.

Andy Petrella at Data Fellas wants you to be productive with your data. This explains why he labored to create Spark Notebook, a fascinating tool that lets you use Apache Spark in your browser and is purposed with creating reproducible analysis using Scala, Apache Spark and other technologies...