Big Data Analytics
This blog offers best practices and tips for companies looking toextract insight from internal data, plus today's most useful data from acrossthe Internet.
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IT's new role as big data stewards
Forward-thinking IT departments should take these four big data stewardship steps now.
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Database planning for big data modeling
When using sandboxes for your test databases, it's vital that a DBA provides guidelines for big data experimentation in that environment.
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Big data asset management: Engage traditional thinking to solve new problems
The IT asset management traditional playbook delivers value for big data. Here's what IT decision makers should consider about big data asset management.
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Use big data analytics to identify and retain your best customers
A big data strategy should include using analytics to identify your best customers and then offering them a free service to engender loyalty.
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Consider how to acculturate analytics workers to retain them
CIOs must get the proper role integration and teamwork in place for analytics workers in the data center before they start their employment.
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Big data spreadsheet products and their potential benefits
Excel isn't the most robust tool for big data work. Fortunately, there are spreadsheet solutions that fit the bill, and that may relieve some users' anxieties about big data.
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The NSA and Big Data
While your company may not be subjected to the global scrutiny befalling the NSA and U.S. intelligence gathering apparatus, the "Big Snooping" capabilities engendered by Big Data must be used in a clearly delineated and responsible manner.
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Demand for Big Data pros on the rise
A new Dice report says that companies are getting into Big Data in a big way. Job postings for these jobs run the gamut from retailers to insurance companies and are all across the nation.
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The four phases of Big Data: A retrospective
Now that last fall's IBM and Oxford University survey about Big Data is in wide circulation, we revisit it to get some impressions from industry experts.
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Getting on top of the Big Data life cycle
If we don't start thinking about how we are going to manage this incoming mass of Big Data in our data centers--where images, videos and documents are growing at a clip of 80 percent--we may never be able to lift our heads from under it.
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Use Big Data for marketing accountability
Astute marketing executives can leverage the power of big data analytics to fortify their value in the organization. Take some time today to see how your executives feel about your marketing accountability.
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Big Data analytics requires breakdown of operational silos
From the data and computing sides, we already know it is absolutely essential to break down IT infrastructure silos between platforms, networks and staff-but have we gotten this silo-breaking concept across to the end business?
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Preparing today for the Big Data challenges of tomorrow
Big Data challenges of tomorrow are many. Will Kelly brings us some insight from Big Data leaders on how to meet those challenges.
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Has the CIO lost Big Data?
Big Data technology has increasingly become embedded in business units, and budgets, and initiative ownership is shifting away from the CIO and toward line of business ownership. What can you do about this?
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Double-down on your Big Data resources
Take some time today to re-evaluate the value on your Big Data strategy--you might want to double down on your resources.
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Big Data defined
If you are a leader, how you define big data has important implications on your subsequent strategic decisions.
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Who owns Big Data?
Big Data is all about technical innovation: high speed networks, in-memory databases, and innovative software that makes it all possible. However, one of the best ways to squander an investment in Big Data is to make it a technology-driven endeavor. Here's why.
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BI still dependent on IT
There's never been a better time for IT to step up and show what tech can do to drive the business. They're the only people who can set the systems in motion to capture data and mine it successfully.
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Creating a data project using SQL Server Integration Services
Edmond Woychowski walks though the creation of a data project using SSIS, a data migration tool that is part of SQL Server Standard Edition or above.
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Infographic: Making the case for big data analytics and intelligence
Slashdot offers this infographic that breaks down the business case for big data projects.
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Big Data: Is that your final offer?
When deciding your customer offering, you should consider products, services, and relationships; in each case, Big Data can play a big role.
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Big Data's neglected topic: How to secure it
One of the last areas of concern to most new technologies is security. But it's relatively easy to price security and do an internal risk assessment to determine what level of security is appropriate for your Big Data initiatives.
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Build your Big Data strategy on what tomorrow will look like
If you're building your Big Data strategy based on what people are talking about today, you need to start over.
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10 things IT architects should consider when choosing data storage technologies
One important part of dealing with data is figuring out how and where to store it. Here are ten things to think about when choosing the right data storage technologies for your enterprise or project.
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Big Data: The perils of past performance
With Big Data especially, pundits and vendors imply that if we throw bigger and better data at a faster platform, we'll eventually be able to predict the future with near certainty. Here's why this is wrong.
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Don't forget about "small data"
Many IT organizations do an incredibly poor job of managing and presenting "small data," which should give pause before launching a more complex Big Data project.
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Big Data events and webinars
Here are three events coming up that will help you learn what you'll need to know to effectively tackle Big Data in your organization.
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Big Data, big problems?
Mary Shacklett offers some tips for how to make the transition from tracking traditional transaction data to the unstructured and rich data formats that come in from the web.
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Using Big Data to establish market dominance
Successful companies let business questions drive big data discoveries; unsuccessful companies ask Big Data to uncover business insights. Don't fall into the same traps as your predecessors.
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Big Data: Moving from strategy to tactics
Big Data, which comes into the enterprise unstructured and unorganized, first needs to be "prepped" so that it can be processed by a business analytics program. Here's what you need to do.