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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.

01:22:01

Experiences Using Grails in a Microservice Architecture

Posted by Jeff Beck  on  Dec 06, 2014

Jeff Beck describes how Grails fits into a larger polyglot architecture and goes through his team's experiences building and maintaining these micro services.

50:03

My Three Ex’s: A Data Science Approach for Applied Machine Learning

Posted by Daniel Tunkelang  on  Dec 05, 2014

Daniel Tunkelang focuses on the data science mindset for successfully applying machine learning to solve problems: express, explain, experiment.

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.

01:36:30

Painless Build and Deploy for YARN Applications with Spring

Posted by Janne Valkealahti  on  Nov 30, 2014

Janne Valkealahti shows how Spring provides a simple programming model to develop applications that can easily be tested and deployed as either a YARN application or a traditional application.

01:23:38

Spring XD - A Guided Tour

Posted by Patrick Peralta,David Turanski  on  Nov 30, 2014

The speakers explore the role of ZooKeeper, Spring Integration, and Spring Boot through beautiful panoramas, code samples, and demonstrations.

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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