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Mtell and MapR Deploy Big Data Platform for Oil and Gas

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Mtelligence Corporation (dba Mtell), and MapR Technologies, Inc., provider of a top-ranked distribution for Apache™ Hadoop®, announced a new Big Data platform called Mtell Reservoir that combines the MapR Distribution including Hadoop, Mtell Previse Software, and Open TSDB (time-series database) software technology.

British Gas Selects WANdisco for Major Big Data Project

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WANdisco (LSE: WAND), a leading provider of continuous-availability software for global enterprises to meet the challenges of Big Data, announced yesterday that after an extensive evaluation, British Gas, the UK’s largest utility and home services provider, has significantly scaled up its Non-Stop Hadoop for Hortonworks (NASDAQ: HDP) deployment for live customer-facing operations.

Space-Time Insight and NEC Partner for Smart Energy Market

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Space-Time Insight, a leading provider of next-generation situational intelligence solutions, and NEC Corporation (NEC; TSE: 6701) have announced the formation of a partnership for the smart energy market.

Slingshot Power Taps Actian and Big Data to Supercharge the Solar Economy

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Actian Corporation, delivering an end-to-end big data analytics platform running natively in Hadoop, announced that clean energy provider Slingshot Power is using the Actian Analytics Platform – Hadoop SQL Edition™ to more accurately target customer segments, optimize system performance, tailor recommendations, and predict the ideal pathway for every American home to achieve energy independence.

10 Ways IBM Platform Computing Saves You Money

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IBM Platform Computing products can save an organizations money by reducing a variety of direct costs associated with grid and cluster computing. Your organization can slow the rate of infrastructure growth and reduce the costs of management, support, personnel and training—while also avoiding hidden or unexpected costs.

Understanding Active Risk Management with High Performance Data

This webinar is focus on understanding active risk management with high performance data and grid management.

InsideBIGDATA Guide to Big Data Solutions in the Cloud

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For a long time, the industry’s biggest technical challenge was squeezing as many compute cycles as possible out of silicon chips so they could get on with solving the really important, and often gigantic problems in science and engineering faster than was ever thought possible. Now, by clustering computers to work together on problems, scientists are free to consider even larger and more complex real-world problems to compute, and data to analyze.

Interview: Tarmin Manages Data Overload with Data Defined Storage

Shahbaz Ali

“GridBank provides a comprehensive information governance framework to help organizations meet compliance regulations for retention management and disposal, and to mitigate data related risk by using end-to-end data protection. The GridBank Metabase, a distributed metadata repository, enables enterprise search and discovery and provides integration for big data analytics tools for increased data insights.”

MongoDB to Unlock Insights from Real-time Smart Grid Data

Silver Spring Networks, Inc. (NYSE: SSNI), a leading networking and solutions provider for smart energy networks, is building on the MongoDB database to seamlessly capture and store high volumes of rapidly changing, complex machine-to-machine (M2M) data for its new SilverLink™ Sensor Network

Interview: A3CUBE Sets Sights on the Emerging Arena of High Performance Data

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“Our architecture permits tens of thousands of SSDs to be connected together and accessed in a parallel and concurrent way using direct mapping of memory accesses from a local machine to the I/O bus and memory of a remote machine. This feature allows for data transmission between local and remote system memories without the use of operating system services. It also enables a unique linear scalability of SSDs bandwidth and IOPS and consequently allows computation and data access to scale together linearly. This totally eliminates the bottleneck in bandwidth or IOPS and provides optimal dimensions of performance, capacity, and computation with an unmatched flexibility at a fraction of the costs.”