The landscape of data is growing rapidly. We now have access to new forms of big data, but also many high quality curated data sets from APIs, from the IoT, from server logs, from web crawling and on and on. But none of this data comes in a form that is ready for use to solve the problems of your business. In order to make the data useful, you must move it around, transform it, distill it, combine it with other data, address any quality issues, and deliver it to a repository used for reporting and analytics. This process in the past was known as ETL. Without increasing the capacity for ETL, companies will find themselves with a lot of data they cannot put to use.

from Forbes – Tech http://ift.tt/1Kk5pMz
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