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.
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.
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.
“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.”
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
“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.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.
For all its agility in handling big data, Hadoop by itself is not a big data strategy.
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 […]
The world’s power grids are under tremendous stress due to continual change in the climate, consumer behavior, and political pressures. Enter IBM and their efforts to help utilities tackle these challenges using Big Data. With that in mind, today IBM announced that Oncor, a Texas-based utility that delivers power to more than 3 million homes […]