Big Data Analytics

Archive: 09-2012

• 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.

  Posted by Edmond Woychowsky | September 26, 2012, 9:16 AM PDT

• 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.

  Posted by Patrick Gray | September 24, 2012, 10:11 AM PDT

• Infographic: Making the case for big data analytics and intelligence

  Slashdot offers this infographic that breaks down the business case for big data projects.

  Posted by Selena Frye | September 24, 2012, 7:10 AM PDT

• 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.

  Posted by Guest Contributor | September 18, 2012, 7:31 AM PDT

• 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.

  Posted by John Weathington | September 17, 2012, 5:33 AM PDT

• 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...

  Posted by Toni Bowers | September 13, 2012, 7:14 AM PDT

• 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...

  Posted by Patrick Gray | September 11, 2012, 6:32 AM PDT

• 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....

  Posted by Patrick Gray | September 5, 2012, 11:47 AM PDT

• Big Data defined

  If you are a leader, how you define big data has important implications on your subsequent strategic decisions.

  Posted by John Weathington | September 4, 2012, 6:32 AM PDT