In a recent CrowdChat discussion, a group of Hadoop and Spark subject matter experts from the IBM Analytics group discussed using cloud-based Hadoop and Spark services as a lever for business agility. From their contributions we drew ten hot topics and themes for experts in all areas of the big
Some organizations misunderstand the optimized way to use Hadoop and Spark together, primarily because of their complexity. But investing in both technologies enables a broad set of big data analytics and application development use cases. See what Niru Anisetti and Rohan Vaidyanathan have to say
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
“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.
This past August, Big Data University (BDU) reached a milestone: 100,000 registered users! From its humble beginnings in early 2011, we continue to see rapid growth in the number of registrations. As of the time this blog post was written, we are now at 118,500 users. The chart below says it all!
Big data is a key infrastructure in the Internet of Things (IoT), but it’s far from the only piece of the fabric. As I stated here, the IoT is central to the notion of a Smarter Planet. In the coming global order, every human artifact, every element of the natural world, and even every physical
Big data technologies like Hadoop are providing enterprises a cost-effective way to store and analyze data. Enterprises are looking at using Hadoop to augment their traditional data warehouse. Compared to traditional data warehouse solutions, Hadoop can scale using commodity hardware and can be