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Thursday, December 15, 2016

Bridging Disparate Data Sources

Not always the case, but good to be ready for.  Especially when significant metadata is involved.

Big Data: The Key is Bridging Disparate Data Sources
Isidre Royo  May 11, 2016

People say Big Data is the difference between driving blind in your business and having a full 360-degree view of your surroundings. But, adopting big data is not only about collecting data. You don’t get a Big Data club card just for changing your old (but still trustworthy) data warehouse into a data lake (or even worse, a data swamp).

Big Data is not only about sheer volume of data. It’s not about making a muscular demonstration of how many petabytes you stored.

To make a Big Data initiative succeed, the trick is to handle widely varied types of data, disparate sources, datasets that aren’t easily linkable, dirty data, and unstructured or semi-structured data.

At least 40% of the C-level and high-ranking executives surveyed in the most recent NewVantage Partners’ Big Data Analytics Survey agree. Only 14.5% are worried about the volume of the data they’re trying to handle.    .... " 

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