A Data Science Central Community
Forward-looking organizations should consider Hadoop as a data management hub. New features in Hadoop 2.0 provide greater flexibility and manageability, allowing firms to efficiently move more workloads to Hadoop and build analytics models using a much larger data pool.
In financial services for example, many organizations have been experimenting with Hadoop projects. These range from securities pricing, risk analysis and setting insurance premiums to monitoring transactions flows…Continue
Added by Gabriel Lowy on November 7, 2013 at 7:00am — No Comments
Added by Gabriel Lowy on October 4, 2013 at 7:16am — No Comments
I suggested in a previous post that assuring user experience should be big data job #1 http://tech-tonics.org/assuring-user-experience-is-big-data-job-one/. In conjunction with this thesis, security should be big data job #2. The point here is that if an organization cannot assure the user experience and secure the data then all of its big data ambitions are for naught.
The threat landscape is…Continue
Added by Gabriel Lowy on August 12, 2013 at 8:45pm — No Comments
Data discovery’s next chapter will see an explosion in analytics globally – from tens of thousands of data analysts today to tens of millions of business users within five years. Key drivers will be further advances in easy-to-use interfaces, the marriage of data discovery and unified information access (UIA) and greater mobile capabilities. This is in keeping with the shift in enterprise spending from legacy database architectures with rigid historical reporting to real-time, event-driven,…Continue
Added by Gabriel Lowy on July 12, 2013 at 3:16pm — No Comments
GE’s entry into cloud and analytics should serve as a clarion call to organizations everywhere about not whether, but how to extract value from big data. GE will leverage industrial data to drive the three pillars of return on investment (ROI): reducing costs for itself and its customers, raising productivity of people and equipment, and generating incremental revenues. The Industrial Internet can be more significant for GE than Six Sigma was in the 1980s.
The most notable aspect of…Continue
Added by Gabriel Lowy on July 12, 2013 at 3:11pm — No Comments
Assuring user experience should be the top priority among big data projects for enterprises and cloud service providers. Megatrends such as mobile, cloud and social drive the need for application awareness via better visibility and control. With survey after survey showing availability as the #1 priority, spending on user experience assurance, also known as application performance management (APM) is expected to remain strong. However, only solutions that cover…Continue
Added by Gabriel Lowy on May 15, 2013 at 3:00pm — No Comments
If Big Data is the way of the future, who is driving that future, how are they doing it and what can today's businesses do to be a part of this next wave?
In an effort to collaboratively explore this opportunity, I began a LinkedIn group dedicated to the discussion around Big Data’s future. The group is a growing community of analysts, developers, vendors, journalists and…Continue
Added by Radhika Subramanian on February 8, 2013 at 10:30am — No Comments
The Big Data Analytics revolution is underway. This revolution is an historic and game-changing expansion of the role that information plays in business, government and consumer realms. To harness the power of this data revolution, a paradigm shift is required. Organizations must be able to do more than query their Big Data stores; search is no longer enough. We …Continue
Added by Radhika Subramanian on February 1, 2013 at 11:04am — No Comments