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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.

01:31:13

REST Services with RabbitMQ, Spring Integration and Node.JS

Posted by Durai Arasan,Monish Unni  on  Dec 17, 2014

The speakers provide insight into design and architectural challenges for creating REST services with Spring Integration with RabbitMQ.

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.

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.

01:01:18

Dashboarding: The Developers’ Role in Data Analysis

Posted by Seth Juarez  on  Dec 06, 2014

Seth Juarez shares insight on how to create applications that use dashboards to drive value, convert raw data into answers, and simplify business processes.

49:40

Samza in LinkedIn: How LinkedIn Processes Billions of Events Everyday in Real-time

Posted by Neha Narkhede  on  Dec 05, 2014

Neha Narkhede of Kafka fame shares the experience of building LinkedIn's powerful and efficient data pipeline infrastructure around Apache Kafka and Samza to process billions of events every day.

41:50

Mantis: Netflix's Event Stream Processing System

Posted by Danny Yuan,Justin Becker  on  Dec 04, 2014

The authors discuss Netflix's new stream processing system that supports a reactive programming model, allows auto scaling, and is capable of processing millions of messages per second.

48:46

High Throughput Stream Processing with ACID Guarantees

Posted by Terence Yim  on  Dec 04, 2014 1

Terence Yim from Continuuity showcases a transactional stream processing system that supports full ACID properties without compromising scalability and high throughput.

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.

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