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Add ALL the Things: Abstract Algebra Meets Analytics

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.

Avi Bryant
on Nov 20, 2013

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37:49
"Big Data" Agile Analytics

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

Ken Collier
on Oct 27, 2013

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41:19
Apache Drill - Interactive Query and Analysis at Scale

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

Michael Hausenblas
on Oct 13, 2013

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36:45
Evolving Panorama of Data

Rebecca Parsons reviews some of the changes in how data is used and analyzed, looking at how data is used to track violence, and attempts to predict famine and other crises before they happen.

Rebecca Parsons
on Oct 02, 2013

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37:10
Leveraging Scriptable Infrastructures, Towards a Paradigm Shift in Software for Data Science

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

Karim Chine
on Oct 02, 2013

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43:33
Approximate Methods for Scalable Data Mining

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

Andrew Clegg
on Aug 21, 2013

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37:03
The Evolving Panorama of Data

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.

Rebecca Parsons
on Jan 17, 2013

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40:46
Scaling Scalability: Evolving Twitter Analytics

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.

Dmitriy Ryaboy
on Jan 13, 2013

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45:19
Big Data, Small Computers

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

Cliff Click
on Dec 20, 2012

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22:53
View Server: Delivering Real-Time Analytics for Customer Service

Richard Tibbetts presents a three-tier architecture for real-time data staging analysis, storing the results and delivering them to clients as a service accessible through a variety of interfaces.

Richard Tibbetts
on Sep 28, 2012

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53:58
NetApp Case Study

Kumar Palaniapan and Scott Fleming present how NetApp deals with big data using Hadoop, HBase, Flume, and Solr, collecting and analyzing TBs of log data with Think Big Analytics.

Kumar Palaniapan Scott Fleming
on Jun 01, 2012

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54:21