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
May 31, 2014 by Leave a Comment
“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
April 15, 2014 by Leave a Comment
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
March 30, 2014 by Leave a Comment
“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.”
Amazon Flow
February 8, 2014 by Leave a Comment
Amazon.com Inc. recently updated its iPhone app with a cool new feature that lets user find items in the online store by simply holding them in front of the phone’s camera. The feature is called “Flow” and is designed to expedite searching for products rather than typing a name or scanning a bar code.
What Can Hadoop Can Do for Your Big Data Strategy?
September 27, 2013 by Leave a Comment
For all its agility in handling big data, Hadoop by itself is not a big data strategy.
IBM’s New Big Data Solution Identifies Problems Before They Happen
April 3, 2013 by Leave a Comment
For Big Data to become an accepted and integral part of enterprise operations, a base of applications has to be developed that are vital to the organization’s functioning. IBM is doing its part. The company has just introduced predictive analytics software and services that forecast asset failure. For example, the new offering can help C-level […]
