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19:26

Why Would You Integrate Solr and Hadoop?

Posted by Yann Yu  on  Dec 28, 2014

Yann Yu discusses how Solr and Hadoop complement each other, and how to use Solr as a real-time, analytical, full-text search front-end to data stored in Hadoop.

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.

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.

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.

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