Data Science 101: Scalable Machine Learning with Apache Spark

In the presentation below, courtesy of the SF Machine Learning Meetup group in San Francisco, Xiangrui Meng introduces Spark and show how to use it to build fast, end-to-end machine learning workflows.

IBM Unveils Watson Explorer to Drive Better Business Outcomes

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IBM (NYSE: IBM) has announced the availability of a cognitive-infused Watson Explorer, a powerful combination of data exploration and content analytics capabilities. Watson Explorer equips users with the information and analytics capabilities which can help them to deliver better performance and real-time results.

How ScaleOut Software Provides Operational Intelligence

bain

“In-memory data grids offer an important storage alternative that dramatically lowers cost and boosts application performance. The foundation of an IMDG is fast, scalable distributed caching, which keeps rapidly changing data close to where it is needed and quickly accessible.”

Data Science 101: Mining Big Data with Apache Spark

In this presentation and interactive demo, you’ll learn about data mining workflows, the architecture and benefits of Spark, as well as practical use cases for the framework.

Sumo Logic Launches Transaction Analytics to Transform How Companies Learn from Business Events

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Sumo Logic, the next generation machine data intelligence company, has announced availability of Transaction Analytics as a component of the Sumo Logic analytics platform to deliver deep visibility into causal relationships across distributed IT systems in order to better inform business decisions.

Data Science 101: Data Agnosticism – Feature Engineering Without Domain Expertise

From the SciPy2013 conference, here is a compelling talk “Data Agnosticism: Feature Engineering Without Domain Expertise” by Nicholas Kridler of Accretive Health in Chicago.

Doug Cutting Interview

In the presentation below, Hadoop luminary Doug Cutting gives us some of his perspectives on the big data industry as well as a high-level overview of the Hadoop technology stack.

The Analytics Frontier of the Hadoop Eco-System

Ted Wilkie

“The Hadoop MapReduce framework grew out of an effort to make it easy to express and parallelize simple computations that were routinely performed at Google. It wasn’t long before libraries, like Apache Mahout, were developed to enable matrix factorization, clustering, regression, and other more complex analyses on Hadoop. Now, many of these libraries and their workloads are migrating to Apache Spark because it supports a wider class of applications than MapReduce and is more appropriate for iterative algorithms, interactive processing, and streaming applications.”

Salesforce Delivers Wave, the Salesforce Analytics Cloud

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Salesforce (NYSE: CRM), a leading CRM vendor, has announced Wave, the Salesforce Analytics Cloud. Wave is the first cloud analytics platform designed for every business user, making it easier than ever for anyone to explore data, uncover new insights and take action instantly from any device.

European Commission to Invest €2.5 Billion in Big Data

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“In this talk we summarize the results of the BIG project including analysis of foundational Big Data research technologies, technology and strategy roadmaps to enable business to understand the potential of Big Data technologies across different sectors, together with the necessary collaboration and dissemination infrastructure to link technology suppliers, integrators and leading user organizations.”