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01:01:21

Doing Data Science with F#

Posted by Tomas Petricek  on  Jul 18, 2014

Tomas Petricek introduces F#’s capabilities in dealing with scientific data: type providers -CSV, XML, JSON, REST-, interactive development, data visualization libraries, integration with R or MathLab.

28:07

Canonical Models for API Interoperability

Posted by Ted Epstein  on  Jul 10, 2014

Ted Epstein shows how a shared canonical model can make life easier for API consumers, while still allowing the flexibility to expose different services, with different contextual requirements.

45:01

The Next Wave of SQL-on-Hadoop: The Hadoop Data Warehouse

Posted by Marcel Kornacker  on  Jul 09, 2014

Marcel Kornacker presents a case study of an EDW built on Impala running on 45 nodes, reducing processing time from hours to seconds and consolidating multiple data sets into one single view.

51:15

Evolving REST for an IoT World

Posted by Todd Montgomery  on  Jul 09, 2014

Todd Montgomery explains using WebSocket and reactive programming in an event driven RESTful architecture for the emerging IoT world.

53:16

Finding the Needle in a Big Data Haystack

Posted by Eva Andreasson  on  Jul 08, 2014

In this solutions track talk, sponsored by Cloudera, Eva Andreasson discusses how search and Hadoop can help with some of the industry's biggest challenges. She introduces the data hub concept.

40:47

Enterprise Integration Using REST: A Case Study

Posted by Brandon Byars  on  Jun 24, 2014 1

Brandon Byars discusses the constraints and the flexibility of nonpublic APIs, and lessons learned from scaling RESTful integration across more than a dozen teams.

43:49

The Haxl Project at Facebook

Posted by Simon Marlow  on  Jun 15, 2014

Simon Marlow describes a concurrency-based system built with Haskell that allows front-end programmers to write business logic to access all the back-end services in a concise and consistent way.

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 and tradeoffs between some of the NoSQL and SQL databases and when Hadoop makes sense to be used with a NoSQL solution.

35:32

How JavaScript Objects are Implemented

Posted by Eddy Bruel  on  Jun 07, 2014

Eddy Bruel details how objects are implemented internally in SpiderMonkey as shape trees and slot vectors. This is done in order to minimize the memory footprint and obtain better JIT optimization with inline caching.

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 value and challenges of efficiently moving information along with techniques and tools that can increase the rate and efficiency of data flows within big data architectures.

49:23

Principles of Reliable Communication & Shared State

Posted by Andy Piper  on  May 20, 2014

Andy Piper describes some fundamentals of communicating reliably in an unreliable world and communication techniques used to build distributed data structures that can tolerate failures.

35:42

Cloud, Distributed, Embedded: Erlang in the Heterogeneous Computing World

Posted by Omer Kilic  on  May 17, 2014

Omer Kilic provides an overview of heterogeneous computing discussing how Erlang can help with the orchestration of different processing platforms, introduces Erlang/ALE + updates on Erlang Embedded.

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