SQL-on-Hadoop is a hot topic. As organizations increasingly leverage Hadoop to gain new capabilities and lower costs, it only makes sense that they would seek to leverage technologies compatible with what they have. Few technologies are as ubiquitous as the structured query language when it comes
Big data presents a tremendous opportunity to alter the ways we think and do business. Hadoop, analytics and other technologies will be front and center at this year’s Strata/Hadoop World event in NYC on October 15 through 17 and we will be there to discuss text analytics, Hadoop use cases, SQL-on-
SQL-on-Hadoop offerings, such as IBM InfoSphere BigInsights with Big SQL, can help IT departments leverage their existing expertise to move into the big data world. A new Big SQL technology preview is available so you can try it out for yourself.
The goal of moving beyond basic TV ratings and simple consumer demographics to establishing a secure analytics environment to integrate subscriber, set-top-box and third-party, enriched data in near real time is something leading media and entertainment organizations continue to embrace. After all
IBM® InfoSphere BigInsights upcoming release includes Big SQL 3.0, bringing performance, security and improved ROI to Hadoop projects. This is an important leap forward to seamlessly transitioning analytic applications from relational database management systems (RDBMS) to Hadoop distributions. In
Having been around the big data space for a number of years, you hear a lot of questions that revolve around “What do I do with this data that I’ve stored in Hadoop?’ or, more importantly, “How do I use this data that is now sitting here?” The fact is, there's a lot of hype surrounding big data,
Do you know how many olives it takes to make that tablespoon of olive oil you just doused on your lunch salad? It takes a big pile of olives. More than 50.
Now, guess how much data it takes to grasp an accurate picture of market trends, emerging markets or potential security breaches; how much do
Customers expect more: they expect smart, they expect simple, they expect fast and they expect value. This transcends all industries, and big data is helping enterprises rise to this challenge.
Much time has been spent in recent years talking about why big data is such a technological opportunity.
A year ago IBM in conjunction with Said Business Schools asked executives across the globe what were their key challenges when implementing big data initiatives. Not surprisingly, the main issues cited included -- difficulty articulating a compelling business case, understanding how to use big data