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01:21:15

Spring XD for Real-time Hadoop Workload Analysis

Posted by Vineet Goel,Girish Lingappa,Rodrigo Meneses  on  Nov 30, 2014

The authors explain how the Pivotal team leveraged familiar SQL-based queries to analyze fine-grained cluster utilization using Spring XD.

42:12

Leading a Healthcare Company to the Big Data Promised Land: A Case Study of Hadoop in Healthcare

Posted by Mohammad Quraishi  on  Nov 29, 2014 2

Mohammad Quraishi presents implementing a Big Data initiative, detailing preparation, goal evaluation, convincing executives, and post implementation evaluation.

01:28:38

Develop Powerful Big Data Applications Easily with Spring XD

Posted by Mark Fisher,Mark Pollack  on  Nov 23, 2014

The speakers show how to provide a scalable runtime environment, that is easily configured and assembled via a simple DSL.

27:24

TSAR: How to Count Tens of Billions of Daily Events in Real Time Using Open Source Technologies

Posted by Gabriel Gonzalez  on  Nov 22, 2014 1

Gabriel Gonzalez introduces TSAR (TimeSeries AggregatoR), a service for real-time event aggregation designed to deal with tens of billions of events per day at Twitter.

26:18

Building a Data Pipeline with the Tools You Have - An Orbitz Case Study

Posted by Steve Hoffman  on  Nov 22, 2014

Steve Hoffman, Ken Dallmeyer share their experience integrating Hadoop into the existing environment at Orbitz, creating a reusable data pipeline, ingesting, transporting, consuming and storing data.

47:47

Weathering the Data Storm

Posted by Claudia Perlich  on  Nov 21, 2014

Claudia Perlich discusses privacy-preserving representations, robust high-dimensional modeling, large-scale automated learning systems, transfer learning, and fraud detection.

39:47

Vagrant, Packer, Consul, Serf: Maximum Potency DevOps

Posted by Mitchell Hashimoto  on  Nov 20, 2014

Mitchell Hashimoto introduces Vagrant, Packer, Consul, Serf, explaining how they can help DevOps streamline the entire process from development through to production.

30:34

Apache Spark Plus Many Other Frameworks: How Spark Fits into the Big Data Landscape

Posted by Paco Nathan  on  Nov 09, 2014

Paco Nathan keynotes on how Spark fits into the big data landscape, describing what other systems work with Spark, and explaining why Spark is needed in the future.

19:49

Getting Real with the MapR Platform

Posted by Jim Scott  on  Nov 09, 2014

Jim Scott keynotes on the history of Hadoop, the difficulties that this technology has gone through, exploring the reasons why enterprises need to evaluate their targets and prepare for the future.

58:10

Continuous Deployment the Octopus Way

Posted by Jimmy Bogard  on  Nov 09, 2014

Jimmy Bogard takes a look at how Octopus enables continuous delivery and what it offers over standard tooling.

49:23

TestOps: Continuous Integration when Infrastructure is the Product

Posted by Barry Jaspan  on  Nov 08, 2014

Barry Jaspan describes how they test Acquia Cloud, a large PaaS and DevOps project, and what they have learned over several years of developing those tests.

25:57

The Business Value of Big Data Driven by the Internet of Everything

Posted by John Zamierowski  on  Oct 30, 2014

John Zamierowski discusses the business benefits of big data coming from the Internet of Everything, focusing on the "Why" and "How" of big data and current developments in sensor technology.

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