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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.

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.

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.

41:19

"Big Data" Agile Analytics

Posted by Ken Collier  on  Oct 27, 2013

Ken Collier discusses Agile Analytics, a combination of sophisticated analytics techniques, lean learning principles, agile delivery methods, and "big data" technologies.

36:45

Apache Drill - Interactive Query and Analysis at Scale

Posted by Michael Hausenblas  on  Oct 13, 2013

Michael Hausenblas introduces Apache Drill, a distributed system for interactive analysis of large-scale datasets, including its architecture and typical use cases.

37:10

Evolving Panorama of Data

Posted by Rebecca Parsons  on  Oct 02, 2013

Rebecca Parsons reviews some of the changes in how data is used and analyzed, including new technology approaches, looking at how data is used to track election violence, movement of people after a natural disaster, and attempts to predict famine and other humanitarian crises before they happen.

43:33

Leveraging Scriptable Infrastructures, Towards a Paradigm Shift in Software for Data Science

Posted by Karim Chine  on  Oct 02, 2013

Karim Chine introduces Elastic-R, demonstrating some of its applications in bioinformatics and finance.

37:03

Approximate Methods for Scalable Data Mining

Posted by Andrew Clegg  on  Aug 21, 2013

Andrew Clegg overviews methods and provides use cases for performing data sets operations like membership testing, distinct counts, and nearest-neighbour finding more efficiently.

The Evolving Panorama of Data

Posted by Rebecca Parsons  on  Jan 17, 2013 1

Rebecca Parsons proposes taking a different look at data, using different approaches and tools, then looks at some of the ways social data is used these days.

Scaling Scalability: Evolving Twitter Analytics

Posted by Dmitriy Ryaboy  on  Jan 13, 2013

Dmitriy Ryaboy shares some of the lessons learned scaling Twitter’s analytics infrastructure: Data loves a schema, Make data sources discoverable, and Make costs visible.

Big Data, Small Computers

Posted by Cliff Click  on  Dec 20, 2012

Cliff Click discusses RAIN, H2O, JMM, Parallel Computation, Fork/Joins in the context of performing big data analysis on tons of commodity hardware.

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