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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Taking out the Big Data garbage
Organizations are seeing storage resources being consumed with an avalanche of Big Data at a time when they don't have the policies in place that can help them determine when it is OK to throw Big Data out.
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Have small shops finally come into their own?
With big companies saddled with huge legacy costs, has the argument that "small is beautiful" finally been settled in favor of the small? Patrick Gray doesn't think so.
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Finding a mission for Big Data
Today governments at all levels, financial services companies, healthcare providers and utility and telecommunications companies are all starting to get the message about the importance of mission when it comes to big data.
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Are your organization's governance practices ready for Big Data?
Getting Big Data ready to meet a new regulatory requirement is not something that tools and automation alone can solve. Here's what IT can do to ensure governance.
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Practice big security with Big Data
Security is often an afterthought in most rapidly maturing applications, and Big Data is no exception.
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SMBs can find value in predesigned analytics
Organizations understand the value of harvesting Big Data, but not everyone can afford a six-figure investment to get into the game.
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Big Data is not just about the customers
Even if you have great ideas for how to use your Big Data once you have it in place, have you considered where this data will come from?
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Life after your Big Data strategy
Where will your Big Data resources go after your strategy successfully completes?
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Big Data analysis gets more complex
Companies want to know more complex elements that could be triggers of consumer behavior, besides just how old they are and what gender they are.
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Big Data: Don't spend money just to produce trivia
In all this sound and fury about Big Data, it's easy to forget that its actual intent is to help make a decision.
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Big Data in 2013 - Now that we have our feet on the ground
Mary Shacklett takes a look at what IT can expect now that it has another year of Big Data under its belt.
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Experts answer five critical big data questions
The era of big data is here and as more businesses realize the need to implement big-data-related solutions, more questions arise.
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How to tackle Big Data cleanup
Mary Shacklett outlines six tips for classifying and cleaning up data.
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Apply Big Data to the email fight
Will Kelly looks at how Big Data technologies can be applied against a number of enterprise email issues now and in the future.
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IT should get ready for new Big Data network breakthroughs
Mary Shacklett covers the key planning and research considerations for networks and Big Data.
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Beat the odds in the big data productivity battle
Gartner predicts it will take companies five to ten years to achieve productivity with their big data. Learn six ways to avoid delaying productivity.
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Are we headed for a platform change for Big Data?
There's some re-thinking by HPC (high performance computing) vendors about which hardware delivers the best processing for big data payloads that need to be processed and analyzed as quickly as possible.
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Are your organization's governance practices ready for Big Data?
Getting Big Data ready to meet a new regulatory requirement is not something that tools and automation alone can solve. Here's what IT can do to ensure governance.
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Building an analytics infrastructure around big data
The right big data infrastructure comes down to asking the right kinds of questions, and developing a suite of analytics reports that carry back business intelligence on both historical and real time levels.
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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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Experts answer five critical big data questions
The era of big data is here and as more businesses realize the need to implement big-data-related solutions, more questions arise.
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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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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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Does data center co-location make sense for Big Data?
Mary Shacklett discusses whether you should consider a co-lo for big data analytics and high performance computing.
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Don't overlook your Big Data leadership and management
Big Data capability is not built on data scientists alone; you must also build competence in dealing with change and complexity.
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Dying of thirst in an ocean of data
Organizations need to find ways to bring seas of data under control and use methodologies capable of identifying and harvesting the information that they have a need to know.
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Finding a mission for Big Data
Today governments at all levels, financial services companies, healthcare providers and utility and telecommunications companies are all starting to get the message about the importance of mission when it comes to big data.
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Finding and keeping Big Data talent
If you're looking to reel in the Big Data fish, make sure you have a big enough boat. Big Data talent is all around, but you must be in touch with the real costs of acquiring these resources if you ever expect to move your Big Data strategy forward.
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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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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.