Big Data and Sustainability

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The recent Big Ideas for Sustainable Prosperity research conference brought together some of the world’s preeminent environment & economy thinkers for a two day conference to share knowledge and think big about Policy Innovation for Greening Growth. In the video presentation below, Dr. Matthew E. Kahn argues that the combination of Big Data and field experiments can sharply improve urban quality of life.

Data Science 101: Hadoop – Just the Basics for Big Data Rookies

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With the Hadoop Summit conference coming next week (June 3-5), it might be useful for all newbies to get up to speed with this exciting distributed computing technology. Below is a video presentation that will open doors for you about the Hadoop technology that’s taking the enterprise by storm.

Data Science 101: Machine Learning Class at CMU

Here is a great learning resource for anyone wishing to dive into the field of machine learning – a complete class “Machine Learning” from Spring 2011 at Carnegie Mellon University. The course is taught by Tom Mitchell, Chair of the Machine Learning Department.

Big Workflow: Accelerates Insights That Inspire Data-Driven Decisions

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Big Workflow is a new industry term coined by Adaptive Computing that refers to technology that accelerates insights by more efficiently processing intense simulations and big data analysis. Big Workflow derives its name from its ability to solve big data challenges by streamlining the workflow to deliver valuable insights from massive quantities of data across multiple platforms, environments, and locations.

The Future of Unstructured Data Workloads

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In this video from the OpenFabrics International Developer Workshop 2014, Tashneem Maistry from Pivotal presents: The Future of Unstructured Data Workloads.

Scaling HBase to Handle Massive Loads at Pinterest

As the latest installment of the Big Data Use Case series here on insideBIGDATA, we offer a compelling presentation by our friend , Jeremy Carroll, Operations engineer at Pinterest. Jeremy talks about how they use HBase at massive scale at Pinterest.

Slidecast: IBM Fellows Tackle Grand Challenges of Big Data

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“A common thread for many of this year new IBM Fellows is their commitment to developing solutions and practical applications in the field of Big Data and Analytics. IBM is a leader in the space – with 1500 Big Data and Analytics-related patents in 2013 alone, and $24 billion in investments since 2005 through both acquisitions and R&D – and these fellows maintain the drumbeat of momentum that has made IBM number one in Big Data market share for the second year running.”

In Search of the Optimal Cheeseburger

If you’ve ever spent valuable billable hours time thinking about an algorithm to seek out the optimal cheeseburger, and calculate metrics like the maximal meat-to-bun ratio, then this presentation by noted data scientist Hilary Mason at the Ignite NYC event last year is for you. Hilary, a self-admitted cheeseburger lover, found some data sets in […]

Data Science 101: Hadoop for Analyzing Sentiment Data

This instructional video explores how to use Hadoop and the Hortonworks Data Platform to analyze sentiment data to understand how the public feels about a product launch – highlighted is the release of the film “Iron Man 3.”

Data Science 101: Metaprogramming Python for Big Data

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The video presentation below comes from our friends at the San Francisco Python Meetup group. The talk discusses how AdRoll uses Python to squeeze every last bit of performance out of a single high-end server for the purpose of interactive analysis of terabyte-scale data sets.