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36:48

Tumblr - Bits to Gifs

Posted by John Bunting  on  Dec 25, 2014

John Bunting talks about different services Tumblr has built and how their architecture helps them be fault tolerant as they continue to grow.

50:32

Continuous Delivery Without Breaking Everything

Posted by Andy Vaughn  on  Dec 25, 2014

Andy Vaughn gives attendees a case study of how changing the development model and release cycle of a 5 year old software product to continuous delivery greatly improved the product.

44:03

1.5 Million Log Lines Per Second: Building and Maintaining Flume Flows at Conversant

Posted by Mike Keane  on  Dec 21, 2014

Mike Keane presents how Conversant migrated to Flume, managing 1000 agents across 4 data centers, processing over 50B log lines per day with peak hourly averages of over 1.5 million log lines/sec.

39:55

The Big Data Imperative: Discovering & Protecting Sensitive Data in Hadoop

Posted by Jeremy Stieglitz  on  Dec 21, 2014

Jeremy Stieglitz discusses best practices for a data-centric security , compliance and data governance approach, with a particular focus on two customer use cases.

50:04

Continuous Delivery for the Rest of Us

Posted by Lisa Van Gelder  on  Dec 19, 2014 1

Lisa Van Gelder provides simple tips and tricks for improving delivery without investing lots of time up front creating complex deployment frameworks.

45:05

How DevOps and the Cloud Changed Google Engineering

Posted by Melody Meckfessel  on  Dec 19, 2014 1

Melody Meckfessel explores how Google's engineering teams use CD to build products and scale them, and how their strain of DevOps speeds launches and helps their engineering culture thrive.

01:26:45

Caching and Messaging Improvements in Spring Framework 4.1

Posted by Juergen Hoeller,Stéphane Nicoll  on  Dec 18, 2014

Juergen Hoeller and Stéphane Nicoll present major new features in Spring Framework 4.1: the numerous improvements around the caching abstraction, and messaging-related features.

42:05

Why Spark Is the Next Top (Compute) Model

Posted by Dean Wampler  on  Dec 15, 2014

Dean Wampler argues that Spark/Scala is a better data processing engine than MapReduce/Java because tools inspired by mathematics, such as FP, are ideal tools for working with data.

51:36

Unified Big Data Processing with Apache Spark

Posted by Matei Zaharia  on  Dec 11, 2014

Matei Zaharia talks about the latest developments in Spark and shows examples of how it can combine processing algorithms to build rich data pipelines in just a few lines of code.

34:13

Customer Analytics on Hadoop

Posted by Bob Kelly  on  Dec 07, 2014

Bob Kelly presents case studies on how Platfora uses Hadoop to do analytics for several of their customers.

17:08

Unleash the Power of HBase Shell

Posted by Jayesh Thakrar  on  Dec 07, 2014

Jayesh Thakrar shows what can be done with irb, how to exploit JRuby-Java integration, and demonstrates how the Shell can be used in Hadoop streaming to perform complex and large volume batch jobs.

01:12:13

Implementing the Lambda Architecture with Spring XD

Posted by Carlos Queiroz  on  Nov 30, 2014

Carlos Queiroz introduces the lambda architecture and showcases how it can be implemented with SpringXD, GemFireXD and Hadoop in a CDR(Call Detail Record) mining application.

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