EII diverges from most traditional ETL-oriented data warehousing in that it accesses -- but does not move -- the information that will be examined using analytics tools.
We've gotten a lot of interest from readers on a story we ran recently on the topic of Enterprise Information Integration. "EII," like most technology-related acronyms, evokes as much confusion as it does enthusiasm. That's often the fault of software vendors (and technology writers) who ramble on about the three-letter abbreviation-of-the-moment without providing detailed explanations, in straightforward language, of what it is they're talking about exactly. Rajan Chandras's "EII: Information On Demand," an Intelligent Enterprise story, is an exception to this rule. Chandras provides a clear explanation of what EII is, and how it fits into the larger business intelligence equation.
As the story outlines, EII diverges from most traditional ETL-oriented data warehousing in that it accesses, rather than moves, the information that will be examined using analytics tools. "EII uses virtualization to present clients with a view of one consolidated information resource, hiding the federated query system that's actually drawing from multiple data resources," says Chandras, of New York-based CSC Consulting. I think you'll find the story's many deeper details very helpful if EII is something your organization is considering, or if it's merely something that evokes your curiosity.
As with all topics BI-related, we're interested in your feedback on the question of enterprise information integration. What are the chances that EII will replace traditional data warehouse and ETL procedures at your company? Let us know what you think about EII in our new Business Intelligence Pipeline poll.
The Agile ArchiveWhen it comes to managing data, donít look at backup and archiving systems as burdens and cost centers. A well-designed archive can enhance data protection and restores, ease search and e-discovery efforts, and save money by intelligently moving data from expensive primary storage systems.
2014 Analytics, BI, and Information Management SurveyITís tried for years to simplify data analytics and business intelligence efforts. Have visual analysis tools and Hadoop and NoSQL databases helped? Respondents to our 2014 InformationWeek Analytics, Business Intelligence, and Information Management Survey have a mixed outlook.
Join us for a roundup of the top stories on InformationWeek.com for the week of April 17, 2016. We'll be talking with the InformationWeek.com editors and correspondents who brought you the top stories of the week!