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26:18

Building a Data Pipeline with the Tools You Have - An Orbitz Case Study

Posted by Steve Hoffman  on  Nov 22, 2014

Steve Hoffman, Ken Dallmeyer share their experience integrating Hadoop into the existing environment at Orbitz, creating a reusable data pipeline, ingesting, transporting, consuming and storing data.

48:17

Scaling Chartbeat from 8 Million Open Browsers to Realtime Analytics and Optimization

Posted by Wesley Chow  on  Oct 26, 2014

Wesley Chow presents Chartbeat's real-time analytics platform and how able to handle the requests in a cost efficient manner using a custom written analytics engine in C and Lua.

46:28

Introduction to Data Science

Posted by Bryan Nehl  on  Oct 10, 2014

Bryan Nehl makes an introduction to the data science: data formats, ETL tools, NoSQL databases, languages, libraries, techniques and approaches for exploring data and extracting value from it.

37:40

Persistence: A View from Stratosphere

Posted by Stefan Edlich  on  Oct 04, 2014

Stefan Edlich discusses big data systems -Spanner, Presto- and the future of data persistence, data analytics, data formats and of NoSQL/NewSQL in general.

45:09

Big Data in Capital Markets

Posted by Alex Raitt,Clive Saha  on  Aug 24, 2014

The authors present design patterns and use cases of capital market firms that are incorporating big data technologies into their credit risk analysis, price discovery or sentiment analysis software.

36:27

Haskell in the Newsroom

Posted by Erik Hinton  on  Apr 02, 2014

Erik Hinton discusses the successes and failures of making a cultural shift in the newsroom at NYT to accept Haskell and some of the projects Haskell has been used for.

39:12

An API for Distributed Computing

Posted by Cliff Click  on  Feb 22, 2014

Cliff Click introduces a coding style & API for in-memory analytics that handles datasets from 1K to 1TB without changing a line of code and clusters with TB of RAM and hundreds of CPUs.

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.

46:05

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.

33:33

Deploying Machine Learning and Data Science at Scale

Posted by Nick Kolegraff  on  Dec 01, 2013

Nick Kolegraff discusses common problems and architecture to support all the phases of data science and how to start a data science initiative, sharing lessons from Accenture, Best Buy, and Rackspace.

43:47

Functional Programming for Optimization Problems with City of Palo Alto Open Data

Posted by Paco Nathan  on  Nov 23, 2013

Paco Nathan reviews an example data analysis application written in Cascalog used for a recommender system based on City of Palo Alto Open Data.

37:49

Add ALL the Things: Abstract Algebra Meets Analytics

Posted by Avi Bryant  on  Nov 20, 2013 4

Avi Bryant discusses how the laws of group theory provide a useful codification of the practical lessons of building efficient distributed and real-time aggregation systems.

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