Data federation is software that allows an organization to create a "virtual database" from multiple sources of like information. For example, customer data may be stored in multiple applications in the enterprise. This software allows us to "cherry pick" the BEST parts of customer from each data source, integrate it
Phil Simon (@philsimon) explains why you should make your data more Amazonian.
It’s day one of the SAS DataFlux IDEAS 2012 conference – a full day of training. At check-in, the first thing many repeat attendees noted was the size of the conference. The number of registrants is up over 15% from the 2011 event, and the Aria in Las Vegas is the
Dylan Jones's latest blog post: "What iOS6 Can teach us About Data Quality."
When it comes to data layers, you don't want too many or too few. You want them juuuust right, says @philsimon.
Joyce Norris-Montanari's latest blog: Where oh Where did my Metadata Go?
This is the first post of a multi-part series on EL-T integration. Lately I’ve been inundated with requests for information about SAS’ ability to do EL-T style (Extract Load then Transform) integration with Data Integration Studio, especially in Teradata shops that use SAS, so we thought it would be useful
Ask any data warehouse architect what is driving the “big data” craze and he’ll tell you it has to do with the cost of storage and the advancements in distributed computing and most likely will mention Hadoop. Most enterprise data warehouses are constrained by cost and scalability of relational databases.
“We’ll know that data has finally made it as the second most valuable asset in our company when all senior executives understand what 'metadata' means." This was an absolutely wonderful quote from a senior leader at a large insurance company with accountability for an enterprise data management initiative. (Even better,
“You don't talk about data quality.” No, wait—that's The First Rule of Poor Quality Data. The First Law of Data Quality: “Data is either being used or waiting to be used—or wasting storage and support.” Although understanding your data is essential to using it effectively and improving its quality, as
