MapR Technologies, Inc., provider of a top-ranked distribution for Apache™ Hadoop®, has quickly established itself as the go-to big data provider for some of the world’s biggest and most innovative advertising and digital media companies, which experience their busiest times with the onset of the holiday shopping season.
Savvy retailers are harnessing the power of big data by combining data from a number of sources such as web browsing patterns, social media and industry forecasts. They are using big data to predict trends, prepare for demand, optimize pricing, and ultimately to improve each customer’s experience to increase acquisition and retention rates.
SoundOut Retail, a leading predictive analysis company and WGSN, a leading trend forecaster have partnered together to develop an innovative customer insight tool. The new service, which will enable fashion brands and retailers to better predict best-selling items before they hit stores, is set to be a game changer for the industry and will launch in early 2015.
AppDirect, the cloud service commerce company, has announced that it has acquired Leftronic, a Y Combinator company and leading provider of real-time business data and analytics dashboards. The strategic move expands AppDirect’s data management and visualization capabilities, a core element of its monetization and management platform, and delivers faster access to business data for the company’s network of app marketplaces.
With the release of Intel® Cloud Edition for Lustre software in collaboration with key cloud infrastructure providers like Amazon Web Services (AWS), commercial customers have an ideal opportunity to employ a production-ready version of Lustre—optimized for business HPDA—in a pay-as-you-go cloud environment.
Certona, a leader in real-time omnichannel personalization for the world’s largest brands and retailers, has introduced the Certona® Predictive Cloud™ to empower brands, technology providers, digital agencies and system integrators to create the next generation of highly personalized apps and services with full access to Certona’s open infrastructure.
Welcome to the first article in a weekly series called “Ask a Data Scientist.” Once a week until you’ll see reader submitted questions answered by a practicing data scientist. Think of this new insideBIGDATA feature as a valuable resource for you to get up to speed in this flourishing area of technology. If you have a big data question you’d like answered, please just enter a comment below, or send me an e-mail.
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.