In today’s increasingly connected world, machine data analysis is becoming a business imperative. While managing it may be challenging, opportunities abound across multiple industries for those who can tackle this complex data.
"Don't we already have a data warehouse solution?"
"Is big data even relevant to our organization?"
"Why do we need it?"
"Isn't big data costly and hard to implement?"
There is an obvious disconnect between the C-Suite and big data initiatives. Given today’s competitive market it’s hard to
Whether you call it stream computing, data in motion or real-time data, there’s no doubt that one of the most important aspects of big data is being able to capture, process and analyze data as it is happening. This is the velocity component of anybody’s definition of big data.
Unlike data that’s
Sophisticated analytics are enabling renewable energy companies with deeper insight which helps them better manager the variable nature of wind and solar, and more accurately forecast the amount of energy that can be redirected into the power grid or stored.
The issue of security for the energy and utility industry has historically focused on the physical security of its sites and keeping hackers from accessing the IT environment. This has been reasonably easy to manage as there are limited endpoints, many of which operate in isolation. But this is
Since big data is still relatively new technology, many of you are conducting research and seeking quality educational resources. That's apparent in this list of the 10 most popular analyst reports, ebooks and white papers. We are proud to offer such an extensive library - more than 40 items - from
This past weekend, as the United States of America celebrated its 237th birthday, I bonded with some of my closest companions – family, friends, music, assorted drinks, and junk food for most of the weekend. Though, one unwelcome friend was the massive heat wave that blanketed most of the US.
Looking to harness the power of big data to drive new business models in the energy and utility industry?
Need to enhance operational delivery and define new approaches to distributed generation?
Attend the “How big data is changing the utility landscape” webinar from the Engerati Insight series on
Organizations in the petroleum industry are no strangers to large volumes of data. With the right technology solutions, these companies can move beyond traditional real-time monitoring to more agile real-time prediction. By rapidly analyzing incoming technical and business data—and applying that
For energy & utilities firms, big data is not software or a product or even a technology. It’s a business strategy - a long-term, executive-level commitment to treat information as a strategic asset with IT providing the resources needed to bring it to life.
Technology in the energy and utilities industry is becoming increasingly advanced, including that of smart meters and smart grids. Although the evolution of these technologies provides companies with tremendous business insight, they also generate unprecedented data volume, speed and complexity.
Energy and utility companies face increasing pressure to accurately predict the supply of energy attributable to renewable resources. By factoring in weather and other key variables, utilities can determine their capital investments and where and when to deploy new generation assets. They also seek
Many energy and utility companies get their first introduction to big data after they implement a smart meter project. While traditional meter reading occurs once a month, a smart meter can stream data every 15 minutes, or 2,880 times a month. That’s a whopping 287,900 percent increase in data that
The Danish wind power plant manufacturer Vestas Wind Systems demonstrates impressively what can be accomplished today with big data and smarter analytics. It certainly convinced the 2012 Big Data Award jury at the Computerwoche Big Data Congress in Germany. Computerwoche magazine presented the 2012