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What is Business Analytics?

Here is an informative high-level presentation introducing Business Analytics by J. Michael Hardin, Ph.D. from the University of Alabama speaking at the SAS Global Forum 2013. The non-technical talk focuses on the conceptual issues surrounding business analytics and sets the stage for motivation behind using this technology. If you’re a decision maker in an organization […]

Interview: Glassbeam Joins Forces with HDS for Complex Infrastructure Management

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“Machine logs contain simple and complex data – some logs contain time stamped data (i.e. syslogs) that are tactical events or errors used by sys admins to troubleshoot IT infrastructure. But other logs have more complex, unstructured or multi-structured text with sections on configuration info, statistics and other non-time stamped data. To make sense of the data in these logs, one needs a powerful language and processing engine to provide meaning and structure to the information. Once structure is defined, complex analytics and trend reporting can be performed.”

Interview: Splunk Brings Machine Data to Higher Education

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“Splunk Enterprise is a platform for machine data. The technology delivers powerful and fast analytics to quickly unlock the value of machine data to IT and other users throughout an organization. In short, it’s a simple, effective way to collect, analyze and secure the massive streams of machine data generated by all IT systems and technology infrastructure.”

Intel’s Boyd Davis Talks Predictive Analytics and March Madness

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“Intel’s goal is to encourage more innovative and creative uses for data as well as to demonstrate how big data and analytics technologies are impacting many facets of our daily lives, including sports. For example, coaches and their staffs are using real-time statistics to adjust games on-the-fly and throughout the season. From intelligent cameras to wearable sensors, a massive amount of data is being produced that, if analyzed in real-time, can provide a significant competitive advantage. Intel is among those making big data technologies more affordable, available, and easier to use for everything from helping develop new scientific discoveries and business models to even gaining the upper hand on good-natured predictions of sporting events.”

DataRPM Secures $5.1 Million in Series A to Advance Cognitive BI Platform

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DataRPM changes the way individuals work with data, making analytics more accessible and easier to use by solving the two main barriers to the adoption of data analysis – time consuming data modeling and usability.

Yellowfin 7 Analytics Platform for Enterprise-wide Data Discovery

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Business Intelligence (BI) and analytics software vendor, Yellowfin, through its BI platform Yellowfin 7, offers a robust solution for ad-hoc analysis and data visualization for enterprise applications.

Interview: Active Archives for Managing and Storing Big Data

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“Active archives are ideal for organizations that face exponential data growth or regularly manage high-volume unstructured data or digital assets. Target markets include life sciences, media and entertainment, education, research, government, financial services, oil and gas, and telecommunications, as well as general IT organizations requiring online data archive options.”

Data Science 101: Examining the Requests Made by the Top 100 Sites

File Types Correlation Plot

For our latest installment of the insideBIGDATA Data Science 101 series, I thought I’d do something a bit different. Here is a sample analysis by data scientist and blogger Dan Goldin who published some nice results using R to assess the web requests originating from the top 100 Internet sites.

How MPSTOR Delivers Software Defined Storage Across Multiple Services

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MPSTOR integrates virtualization into the software stack to provide better, more robust infrastructure management. “Orkestra enables automated delivery of “Anything as a Service,” allowing cloud operators to create and deliver cost effective, differentiated services.”

The Wolfram Programming Language for Data Science

Stephen Wolfram, founder of Wolfram Research and creator of Mathematica, just announced the new Wolfram Programming Language. This new knowledge-based language could be a game changer in data science.