Access "It takes more than technology to achieve big data success"
This article is part of the August 2013, Volume 1, Number 4 issue of Big data technology: Beyond the trendy tools
Zions Bancorporation gathers huge amounts of data each day -- customer details and information about online deposits and withdrawals, for example -- then feeds it all into a 1.2-peta-byte-and-growing Hadoop-based repository. The records are then analyzed to uncover anomalous patterns that may indicate fraud, theft or other criminal activity. But it takes a lot more than headline-grabbing technology like Hadoop -- the Apache Software Foundation's popular distributed processing framework -- and related software to turn vast amounts of structured and unstructured data into insight, and that insight into action. The problem begins with big data itself. In many cases, it is in fact big -- vastly, hugely, mind-bogglingly big, as sci-fi writer Douglas Adams might put it. And it often consists of more than conventional transaction data -- system and network logs, sensor data from industrial equipment, social network posts and other text data. Then comes the challenge of spotting glimmers of useful info amid that enormous space and sprawl. It's one thing to collect ... Access >>>
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It takes more than technology to achieve big data success
by Mark Brunelli
Organizations mulling a big data initiative should forget the hype, come up with a solid business case and put the right team together.
Internal big data skills trump outside consulting help
by Jack Vaughan
Big data skills are in short supply in many companies. But some IT managers say it’s more fruitful to develop them in-house than to rely on outside help.
- It takes more than technology to achieve big data success by Mark Brunelli
Big data systems shine light on neglected 'dark data'
by Jack Vaughan
The processing power of Hadoop and other big data tools is making it more feasible for companies to tap into dark data, information that previously was left untouched in IT systems.
Mobile lifecycle management takes charge of BYOA
by Stephanie Neil
Companies are struggling to cope with the myriad apps that employees now bring to work. Mobile lifecycle management may make sense of the mobile madness.
- Big data systems shine light on neglected 'dark data' by Jack Vaughan
Turnaround artist does data mining for dollars
by David Essex
Steeped in finance and IT, Shyam Desigan, of the American Academy of Physician Assistants, taps big data analytics to return bottom lines to profitability.
The buzz: 3-D printing a new side to manufacturing
by Brenda Cole
Between firearms, shoes, bikinis and even pizzas, there’s a whole lot of buzz surrounding 3-D printing. Is it worth the hype?
ERP software migration and HANA: Tackling the questions
by David Essex
HANA's on the rise, and that means questions remain for ERP. With many customers still relying upon older, on-premises ERP systems -- what does HANA mean for them?
The big idea behind the Internet of Things
by Joshua Greenbaum
Connecting all the world's devices and analyzing the data they produce is a lot for execs to wrap their heads around. But they'd better -- and soon.
The Oracle-Salesforce deal, along with others, is good for end users
by Mark Fontecchio
The witty jabs between Larry Ellison and Marc Benioff may be over, but overall the Oracle-Salesforce deal is probably good for users.
- Turnaround artist does data mining for dollars by David Essex
Stars of the next IT revolution: People
by Scot Petersen
Big data has turned the IT world upside down, starting an IT revolution. Once technology was the only answer; now the right people is another.
Increase big data business value with a strong BI team
by Wayne Eckerson
As big data technologies make it big, the BI and data warehousing teams that deliver insight are taking a backseat in making business decisions.
- Stars of the next IT revolution: People by Scot Petersen
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