In this special guest feature, Ed Cuoco is the Director of Data Science at The Weather Company, takes a look at big data from the perspective of the utility company and how they can no longer serve their own or their stakeholders’ interests without smarter insights at scale and in real time.
The water and wastewater industry is in transition to a digital revolution that has the potential to transform the industry from the use of data-driven technologies, with utility sector spending dwarfing the industrial market. This is according to a new report by Global Water Intelligence (GWI) that provides a detailed guide to the opportunities in this smart market.
Hadoop, while beneficial in many IT environments, unfortunately, will not work with the massive amounts of data generated in most industrial environments. This contributed article by Alex Clark, founder and Chief Software Architect at Bit Stew Systems, asks what if we remove this from our industrial planning, what does the future industrial data architecture look like?
“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 […]