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41:55

Real World Akka Recipes

Posted by Jamie Allen  on  May 01, 2014 3

Jamie Allen describes three patterns using Akka actors: handling a lack of guaranteed delivery, distributing tasks to worker actors and implementing distributed workers in an Akka cluster.

45:22

Next Gen Hadoop

Posted by Akmal B. Chaudhri  on  Apr 22, 2014

Akmal B. Chaudhri introduces Apache™ Hadoop® 2.0 and Yet Another Resource Negotiator (YARN).

55:02

What Can Hadoop Do for You?

Posted by Eva Andreasson  on  Apr 22, 2014

Eva Andreasson presents typical categories of problems that are commonly solved using Hadoop and also some concrete examples in each category.

43:05

Design Patterns for Large-Scale Real-Time Learning

Posted by Sean Owen  on  Apr 15, 2014

Sean Owen provides examples of operational analytics projects in the field, presenting a reference architecture and algorithm design choices for a successful implementation based on his experience with customers and Oryx/Cloudera.

01:03:55

Going Reactive: New and Old Ideas for Your 21st Century Architectures

Posted by Jonas Bonér, Francesco Cesarini  on  Apr 12, 2014

Jonas Bonér, Francesco Cesarini discuss the evolution of distributed concurrent thinking along with the problems it has to solve and the toolchains created along the way.

42:06

Pickles & Spores: Improving Distributed Prog. in Scala

Posted by Heather Miller  on  Jan 23, 2014

Heather Miller presents attempts at better supporting distributed programming in Scala, including a new fast pickling framework designed for Scala, as well as Spores - composable pieces of mobile functional behaviour.

44:45

From The Lab To The Factory: Building A Production Machine Learning Infrastructure

Posted by Josh Wills  on  Jan 16, 2014

Josh Wills discusses using Hadoop technologies to build real-time data analysis models with a focus on strategies for data integration, large-scale machine learning, and experimentation.

46:49

Data & Infrastructure at Airbnb

Posted by Brenden Matthews  on  Dec 31, 2013

Brenden Matthews describes the infrastructure built at Airbnb using Mesos in order to support Hadoop and Storm.

36:51

Graph Computing at Scale

Posted by Matthias Broecheler  on  Dec 27, 2013

Matthias Broecheler discusses graph computing, introducing the Aurelius graph cluster enabling graph computing at scale by building on distributed systems like Cassandra, HBase, and Hadoop.

38:11

REEF: Retainable Evaluator Execution Framework

Posted by Rusty Sears  on  Dec 10, 2013

Rusty Sears introduces REEF along with examples of computational frameworks, including interactive sessions, iterative graph processing, bulk synchronous computations, Hive queries, and MapReduce.

38:16

Apache Tez: Accelerating Hadoop Query Processing

Posted by Bikas Saha, Arun Murthy  on  Dec 05, 2013

Bikas Saha and Arun Murthy detail the design of Tez, highlighting some of its features and sharing some of the initial results obtained by Hive on Tez.

36:32

Raft - The Understandable Distributed Protocol

Posted by Ben Johnson  on  Dec 04, 2013 2

Ben Johnson discusses the Raft protocol and how it works. Raft is a consensus distributed protocol.

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