Spark’s momentum is building, and it is rapidly emerging as the central technology in analytics ecosystems within organizations. See why Spark’s technical advancements around iterative processing combined with its easy overall environment and tool set for developers make it a true operating system
An open ecosystem thrives on a mature core platform. It also depends on partnering arrangements that incentivize solution providers to continue developing standards-based interoperability around the shared environment. Take a deeper dive into recent announcements of new open ecosystem milestones
Organizations that don’t take the time to plan a strategy for implementation of a big data solution can fall into traps that impact long-term business goals. Discover five key steps organizations can take to implement a strategy for big data solutions that capitalize on Spark technology.
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.
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
The Forrester Wave Big Data Hadoop Solutions Q1 2014 declared that “Hadoop is unstoppable.” Indeed, Hadoop is changing the game of large scale computing and IBM Infosphere BigInsights is right there leading the pack.
So what's the scoop on Hadoop?
“Hadoop is unstoppable as its open source roots grow wildly and deeply into enterprise data management architectures,” Forrester analysts Mike Gualtieri and Noel Yuhanna wrote recently in The Forrester Wave Big Data Hadoop Solutions Q1 2014 on the Hadoop marketplace. “Forrester believes that Hadoop
IBM’s recent addition of big data and analytic services into Bluemix will empower today’s application developer with an unmatched pool of resources. It will drastically reduce the time and cost for developers to get an analytical application off the ground and open new doors for immediate trial.