Data Management - Research
Which Hadoop Distribution Is Right For You?December 5, 2013
Selecting a Hadoop distribution can seem pretty daunting. But it all comes down to which platform best suits your Big Data needs.
5 Hot Big Data StartupsDecember 2, 2013
These five Big Data startups are attracting the interest of investors and potential customers.
Big Data: What Will You Do for an Encore?November 27, 2013
Organizations that want to keep deriving benefits from Big Data after the initial implementation will create a customer-driven analytical process, with an architecture to support it.
Big Data and Customer Metrics: Time for a Change?November 20, 2013
Big Data is no panacea, says the author of "Innovating Analytics." Focusing on the wrong data or not taking context into account can lead to bad decisions.
3 Tips for Solving Big Data Skills ShortageOctober 18, 2013
More schools are creating data analytics programs, but many companies can't wait for help with their Big Data projects. Here's how to deal with a Big Data skills shortage.
No Hadoop Expert? No ProblemOctober 7, 2013
Many enterprises can use Hadoop in tandem with traditional data warehouses and may not need to worry about hiring a staff of Hadoop experts, says Wayne Kernochan.
Review: Data Stewardship Platform Eases ERP MigrationOctober 2, 2013
Reviewer Matt Sarrel finds that BackOffice Associates' Data Stewardship Platform simplifies complex data management tasks associated with ERP migrations.
Top 5 Big Data Trends Highlighted in Major Enterprise ProjectsSeptember 18, 2013
NEWS ANALYSIS: Major enterprise projects presented at the Big Data Innovation Conference show why this analysis technique is becoming more of a reality than just a buzzword.
3 Rules for Data-driven ArchitectureSeptember 3, 2013
What is a data-driven architecture, and how can enterprises achieve it? Wayne Kernochan of Infostructure Associates has three recommendations for doing so.
How to Choose a Hadoop DistributionAugust 16, 2013
Choosing which of the three types of Hadoop distributions will work best for your organization largely comes down to where you are in your Big Data journey.