Issue OverviewBusiness Information - Special Edition, September 2013
Hadoop is evolving as an enterprise technology -- often, it's the answer to an organization's big data analytics needs. That's not always the case. This special edition of Business Information magazine will examine Hadoop and in-memory analytics tools, offering special insight into big data software developments and how to determine what an organization needs most. Access >>>
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Handling the hoopla: When to use Hadoop, and when not to
by Ed Burns, Site Editor
Hadoop has become everyone's big data darling. But it can only do so much, and savvy businesses need to make sure it's a good fit for their needs.
- Handling the hoopla: When to use Hadoop, and when not to by Ed Burns, Site Editor
Should in-memory analysis have a seat at your big data table?
by Beth Stackpole
Big data and in-memory analytics software can form a mutually beneficial relationship, provided business users really need in-memory processing power.
- Should in-memory analysis have a seat at your big data table? by Beth Stackpole
Deploying big data software calls for more than idle talk
by Craig Stedman, Executive Editor
There's real value to be gained from big data projects, if organizations can get past all the hype and look at big data tools with a realistic eye.
- Deploying big data software calls for more than idle talk by Craig Stedman, Executive Editor
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NoSQL technologies take on rising tide of big data
For decades, IT managers, developers and business executives had limited options when shopping for database technologies: Relational databases were ...
In-memory databases: The golden ticket to deeper analyses?
Historically, in-memory databases have been seen as a niche technology. As in-memory processing becomes less expensive and more mainstream, however, ...
How to be successful with enterprise data governance
Successful data governance programs can help ensure that organizations have consistent policies and processes for defining, managing and using ...