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Real-time query for Hadoop democratizes access to big data analytics

Nov. 6, 2012 - 11:55 PM PDT Nov. 6, 2012 - 11:55 PM PDT

The delivery of real-time query makes Hadoop accessible to more users — and by orders of magnitude. Its significance goes well beyond delivering a database management system (DBMS) kind of query engine that other products have had for decades. Rather, Hadoop as a platform now supports a whole new paradigm of analytics. With the introduction of real-time query, Hadoop has taken a major step toward unifying the majority of big data analytic applications onto one platform. This research paper targets information technology professionals who have in-depth experience with traditional RDBMS and seek to understand where the Hadoop ecosystem and big data analytics fit. Read more at GigaOM Pro »

Why you should care about data-flow computing’s big comeback

By Ki Mae Heussner

Oct. 17, 2012 - 8:37 AM PDT Oct. 17, 2012 - 8:37 AM PDT

Structure Europe 2012 Damian Black SQLstream

photo: JULIADEBOER PHOTOGRAPHY

Damian Black, CEO of SQLstream, talks about why data flow computing is experiencing a rebirth and what it could mean for scaling in the cloud. Read more »

We need to prevent insights from dying in the big data avalanche

By Anukool Lakhina, Guavus

Oct. 6, 2012 - 10:30 AM PDT Oct. 6, 2012 - 10:30 AM PDT

To take full advantage of big data, businesses must think about how to use those mountains of data as they come into the network, not store it and hope to gather insights weeks or even months later. To do this, we need new tools. Read more »

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Cloud computing and trickle-down analytics

By Derrick Harris

Jul. 4, 2012 - 10:55 PM PDT Jul. 4, 2012 - 10:55 PM PDT

A major limitation of big data is that the technologies used to analyze it are not easy to learn. It doesn’t have to be that way, and technologies like data visualization and cloud-based tools target less-sophisticated users — from business users to receptionists to high school students. Read more at GigaOM Pro »

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Creating value out of machine-driven big data

By Dave Ohara

Apr. 8, 2012 - 10:55 PM PDT Apr. 8, 2012 - 10:55 PM PDT

If your organization doesn’t have a strategy for big data now, you will need one in the future. Here we discuss the difference between big data and traditional business intelligence, as well as the considerations executives should take into account as they plan their big data strategies. Read more at GigaOM Pro »

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A near-term outlook for big data

By Krish

Mar. 20, 2012 - 10:55 PM PDT Mar. 20, 2012 - 10:55 PM PDT

Big data now touches everything from enterprises to smart-meter startups, while Hadoop is fast becoming the leading tool to analyze that data, and debates around privacy abound. GigaOM Pro analysts offer insights on what to consider when it comes to big data decisions for your business. Read more at GigaOM Pro »

Forget consumers, gigabit networks are ready for business!

By Stacey Higginbotham

Feb. 7, 2012 - 11:13 AM PDT Feb. 7, 2012 - 11:13 AM PDT

Consumer applications have driven the rapid take up of faster broadband services in the U.S. in the last decade. But as Google and others build gigabit networks to see what can be done with them, it’s time to bring businesses back into the innovation cycle. Read more »

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Real-time query for Hadoop democratizes access to big data analytics

We need to prevent insights from dying in the big data avalanche

Forget consumers, gigabit networks are ready for business!

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