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Lots of Data Does Not Equal "Big Data"

March 29, 2013 by David Smith

Lots of data does not necessarily equate to “Big Data." To my way of thinking, the single most important capability to implement in any large scale data platform that is going to support sophisticated analytics is the ability to quickly construct, high quality random samples.[read more]

Alteryx 8.5 and the Data Artisan: Focusing on the User Experience of the "New Boss"

March 24, 2013 by Tony Cosentino

data artisan/shutterstock

At this year's Inspire, Alteryx’s annual user conference, Alteryx CEO Dean Stoecker kicked off the event by talking about the promise of big data, the dissemination of analytics throughout the organization, and the data artisan as the “new boss.”[read more]

SAS Innovates into the Big Data Analytics Era

March 18, 2013 by Tony Cosentino

SAS Institute held its 24th annual analyst summit last week in Steamboat Springs, Colorado. The 37-year-old privately held company is a key player in big data analytics, and company executives showed off their latest developments and product roadmaps.[read more]

Information Optimization Is a Key Benefit of Big Data Investments

March 11, 2013 by Mark Smith

Without the right information, an organization cannot make the right decisions or take the right actions. Yet I see organizations today focusing on investments in big data because they believe it can effortlessly bring analysts insights. That premise is incorrect.[read more]

Platfora and the Foundation of Business Intelligence for Big Data

March 10, 2013 by Tony Cosentino

Platfora has gained a lot of buzz in the Big Data analytics market primarily through word of mouth. Late last year the company took the covers off of some impressive and potentially disruptive technology that takes aim at the broad BI and business analytics ecosystem.[read more]

SnapLogic: Making Big Data Integration as a Service a Hadoop Reality

March 5, 2013 by Mark Smith

SnapLogic, a provider of data integration in the cloud, last week announced Big Data-as-a-Service to address businesses’ needs to integrate and process data across Hadoop big data environments. I look forward to seeing SnapLogic’s 2013 technology advancements.[read more]

Big Data Wisdom Courtesy of Monty Python

February 28, 2013 by Mike Urbonas

Many organizations are on “Big Data Holy Grail” quests, looking to deliver game-changing business analytics, only to find themselves in a “boil-the-ocean” Big Data project that “has no real value.” They shouldn't be rushing into hasty Hadoop implementations.[read more]

Big Data Without Integration Is Broken

February 23, 2013 by Mark Smith

Big data involves interplay between different data management approaches and business intelligence and operational systems. Consider big data integration as part of your business case and project, because it is essential to gaining the most value from your big data investments.[read more]

Moving to the Public Cloud? Do the Math First

February 22, 2013 by Paul Barsch

A manufacturing executive claims that many companies “didn’t do the math” in terms of rushing to outsource key functions to outside suppliers. Are companies making the same mistake in terms of rushing to public cloud computing infrastructures?[read more]

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Is Big Data Failing?

February 22, 2013 by Bruno Aziza

Just few weeks ago, the term "Big Data" was the darling of every investor. But then, at Gartner’s Business Intelligence Summit in Barcelona, things changed. Svetlana Sicular, a Gartner analyst, exposed what many had feared: Big Data has officially landed in Gartner’s “Trough of Disillusionment.”[read more]

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Demystifying Hadoop: Not All Problems Are Hadoop-able

February 12, 2013 by Radhika Subramanian
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People often ask me what Hadoop actually does. Built by Yahoo and Google to essentially index the Internet, Hadoop is not a data warehouse or storage solution: it’s a tool that’s useful when information can be broken up, analyzed in pieces and put back together.[read more]

Hadoop to Be Pervasive By 2015

February 10, 2013 by Bob Gourley

By 2015, 65% of packaged analytic applications with advanced analytics will come embedded with Hadoop. Organizations realize the strength that Hadoop-powered analysis brings to big data programs, particularly for analyzing poorly structured data, text, behavior analysis and time-based queries.[read more]

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Data Integration Ecosystem for Big Data and Analytics

February 8, 2013 by Venkata Bodapati

In my article, “Data Integration Roadmap to Support Big Data and Analytics,” I detailed a five step process to transition traditional ETL infrastructure to support the future demands on data integration services. It is always helpful if we have an insight into the end state for any journey.[read more]

Big Analytics Rather Than Big Data

February 7, 2013 by Barry Devlin

Many so-called Big Data projects have more to do with more traditional data types, i.e. relationally structured, but bigger or requiring faster access. And in these instances, the need is for Big Analytics, rather than Big Data. The value comes from what you do with it, not how big it happens to be.[read more]

Energy Department Announces New SunShot Projects to Harness the Power of Big Data

February 1, 2013 by Bob Gourley

As part of the Energy Department’s SunShot Initiative, the Department today announced seven data-driven projects to unearth new opportunities for reducing costs and accelerating solar energy deployment in the United States.[read more]