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37:17

JS Optimization Techniques

Posted by Guillaume Lathoud  on  Jun 19, 2014

Guillaume Lathoud suggests expanding JavaScript with mutual tail-call optimization, map/filter/reduce and math computations to obtain faster code.

44:43

A Big Data Arsenal for the 21st Century

Posted by Matt Asay  on  Jun 12, 2014 2

In this solutions track talk, sponsored by MongoDB, Matt Asay discusses the differences between some of the NoSQL and SQL databases and when Hadoop makes sense to be used with a NoSQL solution.

36:11

Data Movement at Very Large Scale

Posted by Aaron Lee  on  Jun 04, 2014 1

In this solutions track talk, sponsored by Solace Systems, Aaron Lee discusses the challenges moving information and techniques that can increase efficiency of data flows within big data architectures

57:43

The World after Cloud Computing & Big Data

Posted by Gunter Dueck  on  May 13, 2014

Gunter Dueck wonders how are we preparing for the new society marked by cloud computing and big data in which jobs are automated and mediocre abilities are no longer accepted?

44:53

A Research Agenda and Vision for Big Data at NASA

Posted by Chris Mattmann  on  Apr 28, 2014

Chris Mattmann covers snow hydrology, regional climate modeling, climate science, and intelligence activities that need advancement to deal with the data deluge across NASA and government agencies.

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, presenting a reference architecture and algorithm design choices for a successful implementation based on his experience Oryx/Cloudera.

52:01

Excel Coding Errors Are Destroying World Economies and F# (with Tsunami) Is Here to Stop Them!

Posted by Matthew Moloney  on  Mar 05, 2014

Matthew Moloney discusses using F# and .NET inside Excel, demonstrating doing big data, cloud computing, using GPGPU and compiling F# Excel UDFs.

51:26

Scaling Pinterest

Posted by Yash Nelapati, Marty Weiner  on  Dec 30, 2013

Details on Pinterest's architeture, its systems -Pinball, Frontdoor-, and stack - MongoDB, Cassandra, Memcache, Redis, Flume, Kafka, EMR, Qubole, Redshift, Python, Java, Go, Nutcracker, Puppet, etc.

46:05

R for Big Data

Posted by Indrajit Roy  on  Dec 15, 2013

Indrajit Roy presents HP Labs’ attempts at scaling R to efficiently perform distributed machine learning and graph processing on industrial-scale data sets.

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.

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