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Enterprise data architecture best practices News
July 29, 2014
At the TDWI Executive Summit in Boston, users talked about the benefits and challenges of incorporating the Agile methodologies long practiced in development circles into data warehouse and business intelligence projects.
July 15, 2014
Consultant Rick van der Lans contends that data warehouses are inherently logical and don't need to be qualified as such. What really matters, he says, is that they present an integrated view of enterprise data, no matter where it's stored.
May 22, 2014
Ryan Fenner worked in a shadow IT unit at Union Bank for years. Now he's helping lead an IT effort to better manage BI data created in those shadows.
March 31, 2014
In a Q&A, author William McKnight discusses the importance of building a robust information architecture -- and having the right person in the lead.
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IT recruitment expert Matt Mueller suggests that data management professionals amp up their big data skills and experience in order to stay competitive in a swiftly changing industry. Continue Reading
In a video Q&A, Jill Dyché of software vendor SAS Institute says that large companies she surveyed are using big data systems to support a mix of new applications and operational improvements. Continue Reading
Data architecture and cloud were strangers at first, as security concerned IT. That will change, say reporters in the latest Talking Data podcast. Continue Reading
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The number of NoSQL database options is vast, and distinct product categories occupy separate niches. That makes it imperative to understand what works best for specific applications when evaluating NoSQL software. Continue Reading
SearchDataManagement's Joe Hebert and Ed Burns discuss the gulf between Hadoop hype and enterprise adoption that was highlighted at the 2014 TDWI conference in Boston. Continue Reading
Long-time IT watcher Tom Davenport sees potential in the latest big data go-around, with enterprise Hadoop part of the mix. Continue Reading
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In this interview, author and data modeling instructor Steve Hoberman discusses techniques for dealing with challenges that may arise in the data modeling process. Continue Reading
In this book excerpt, data modeling instructor Steve Hoberman discusses the importance of using modeling for business success and the variety of implementations for data models. Continue Reading
The volume of information aggregating in enterprises today has prompted a business-critical mission for record managers everywhere. And with social media "records" only adding to the myriad forms of documentation on record managers' plates, it's ... Continue Reading
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In a video interview, consultant Claudia Imhoff discusses the increasing need to augment data warehouses with technologies such as Hadoop and real-time analytics systems. Continue Reading
Building a big data architecture is more complicated than setting up a data warehouse to support BI applications. But that creates new opportunities for data architects to shine. Continue Reading
The unstructured data types common in big data systems are often better managed by a NoSQL database than relational software, Mark Whitehorn says. Continue Reading