The Data Catalog’s Role in Metadata Management

Posted by Brendan Cannon on Dec 16, 2016 11:05:00 AM

The business decisions an organization has to make are more likely to be the right ones if they have a full view of the information assets they have. Being able to easily locate those data assets and understand how they relate to each other gives that bigger, clearer, picture that reveals the insights that will inform business growth, which is why a Data Catalog is such an important element of a good data governance solution.

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Topics: Data Governance, metadata management, metadata management system, business glossary, Data Catalog, data repository, metadata repository

The 4 Types of Data You Need To Align for Effective Data Management

Posted by Brendan Cannon on Dec 6, 2016 10:30:00 AM

Organizations are now faced with an exponentially expanding volume of big data, and while the effective management of that data is essential to business growth and regulatory compliance, achieving that goal is no easy task.

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Topics: metadata management, metadata management system, data alignment, data types

To Be, Or Not To Be: Shakespeare, Big Data, and the Metadata Management Solution

Posted by Brendan Cannon on Nov 1, 2016 9:05:00 AM

You may have seen in the news that 17 plays attributed to William Shakespeare were discovered to have been written in collaboration with other playwrights. Long a source of debate, the (co-)authorship of Shakespeare’s plays has until now been uncertain, but with the use of big data, scholars have been able to piece together the puzzle and come up with some very interesting new insights.

To make a long story short, reputed rival Christopher Marlowe co-penned the Henry VI trilogy, while Thomas Middleton adapted All’s Well That Ends Well. That’s all very well, you might say, but how does it relate to big data, and finding an effective way to manage that data for my business?

Here’s where it gets interesting. Information has been around for centuries regarding the authorship of these plays, but it was only with the emergence of big data that scholars could prove it was reliable. They used an extensive data catalog that enabled precise comparisons of different authors. Locating, collating, cross-referencing and assessing the data they now had regarding terms, language and idiolect, they were able to determine that more than one author was involved. The result, exciting new insights.

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Topics: Metadata, metadata manaement, big data, metadata management system, data lakes

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