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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
Lean Data Architecture: Minimize Investment, Maximize Value

Manvir Singh Grewal and Brandon Byars propose a business intelligence workflow along with Lean principles and practices for implementing a data warehouse and reporting capability.

Manvir Singh Grewal Brandon Byars
on Jan 04, 2013

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53:59
Storm: Distributed and Fault-Tolerant Real-time Computation

Nathan Marz introduces Twitter Storm, outlining its architecture and use cases, and takes a look at future features to be made available.

Nathan Marz
on Jan 04, 2013

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51:48
Extending the Enterprise Data Warehouse with Hadoop

Rob Lancaster explains the steps made by Orbitz in order to bridge the gap between their data in the data warehouse and the data in Hadoop.

Rob Lancaster
on Dec 27, 2012

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47:25
Big Data Problems in Monitoring at eBay

Bhaven Avalani and Yuri Finklestein discuss 4 aspects encountered at eBay when dealing with monitoring data: reduction of data entropy, robust data distribution, metric extraction, efficient storage.

Bhaven Avalani Yuri Finklestein
on Dec 21, 2012

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50:16
100% Big Data, 0% Hadoop, 0% Java

Pavlo Baron presents a big data case, a solution and the tools for collecting, mining and storing large amounts of data without using Hadoop or Java.

Pavlo Baron
on Dec 20, 2012

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41:03
NoSQL: Past, Present, Future

Eric Brewer takes a look at NoSQL’s history and considers what should be done so the current NoSQL solutions to evolve in order to address the full range of the application needs.

Eric Brewer
on Dec 20, 2012

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50:47
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
Introducing Apache Hadoop: The Modern Data Operating System

Eli Collins introduces Hadoop: why it came about, the benefits it produces, its history, its architecture, use cases and applications.

Eli Collins
on Dec 18, 2012

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41:41
Petabyte Scale Data at Facebook

Dhruba Borthakur discusses the different types of data used by Facebook and how they are stored, including graph data, semi-OLTP data, immutable data for pictures, and Hadoop/Hive for analytics.

Dhruba Borthakur
on Dec 17, 2012

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49:37
Facebook News Feed: Social Data at Scale

Serkan Piantino discusses news feeds at Facebook: the basics, infrastructure used, how feed data is stored, and Centrifuge – a storage solution.

Serkan Piantino
on Nov 26, 2012

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40:57