As the promise of renewable energy paints pictures of an ever brighter future, energy suppliers find themselves locked in a fierce battle for supremacy. Will you be able to seize the advantage in an industry that thrives on data? No matter who triumphs in the battle for the renewable energy market
Expand the boundaries of your possibility thanks to Apache Spark. Big data analysis is undergoing a paradigm shift powered by Spark, which supercharges the Hadoop ecosystem to help organizations accomplish things that were once thought impossible.
Companies utilizing the latest retail trends, including NFC technology, wearables and geolocation, are set to collect the data points necessary to provide the customer service today's customers expect.
Big data has shown itself to be an illuminating force for sourcing the insight that is powering a tremendous transformation in modern life. To keep pace with the rapid changes, today’s organizations are seeking to improve their capabilities, competencies and culture to turn data into business value
Ninety-one percent of retailers are present on two or more social media channels. These outlets provide a wealth of information to retailers, but are they taking advantage of the opportunities that social media metrics offer?
The current Insight Economy demands a never-ending stream of data-driven discovery. Enter the data scientist—professionals who answer this demand by tapping into big data analytics to uncover emerging trends that help transform organizations.
Inaccurate perceptions of predictive analytics are common in the business world. In reality, predictive analytics is straightforward to understand, can leverage existing skillsets in business and IT organizations, and can deliver value in most industries and lines of business. Getting started with
Big data and analytics technologies are intensifying 3D printing’s effects on our increasingly connected world. The technologies driving this industrial transformation include simulated and algorithmic CAD, ubiquitous worldwide Internet connectivity, Internet of Things file handling by cloud
Video analytics can turn the billions of hours of video captured by video cameras each month into data. Application of big data analytics can then provide insight that cannot be gleaned from video alone.
Since the kickoff of the InterConnect solution expo on Monday, the traffic around the IBM InfoSphere BigInsights and InfoSphere Streams booth has been nonstop as several hundred folks stopped by to get the scoop on Hadoop and stream computing.
Big data is becoming the next best thing to true magic. It is everywhere and, increasingly, nowhere specific. Every node in the known computing universe is becoming a component in a vast, distributed, pervasive big data cloud. In an Internet of Things (IoT)-centric world, cloud’s processing,
For many enterprises System z is central to modern analytics because of the vast quantities or rich data stored upon it, not to mention excellent qualities of service.
Carl Olofson, an IDC analyst, looks at the role of the mainframe in relation to big data, how it has become a hub for modern day