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IT PRO
Enterprise & Business IT News, Reviews, Features & How Tos
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Towards Data Science
Sharing concepts, ideas, and codes.
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Today’s Knowledge Workers.

Quietly, behind the scenes and often unnoticed, big data is constantly and relentlessly changing the face of how we live our lives- how big data is revolutionizing fields like health care and manufacturing...

Big data - Wikipedia
Big data is data sets that are so big and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data , data storage , data analysis , search, sharing , transfer , visualization , querying, updating, information privacy and data source. There are a number of concepts associated with big data: originally there were 3 concepts volume , variety , velocity . Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value.
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If you’re keeping up with what’s happening across today’s business sector, then you’re sure to have heard about “big data” and the massive number of high-paying jobs it’s contributing to an otherwise stagnant job-market...


Big Data Explained
For organizations of all sizes, data management has shifted from an important competency to a critical differentiator that can determine market winners and has-beens. Fortune 1000 companies and government bodies are starting to benefit from the innovations of the web pioneers. These organizations are defining new initiatives and reevaluating existing strategies to examine how they can transform their businesses using Big Data. In the process, they are learning that Big Data is not a single technology, technique or initiative. Rather, it is a trend across many areas of business and technology.
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Hacker Noon
how hackers start their afternoons.
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Top 10 Hot Big Data Technologies
Which big data technologies are most in demand and promise the most growth potential?
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Top 15 Big Data Technologies - Datamation
Many enterprises are investing in these big data technologies in order to derive valuable business insights from their stores of structured and unstructured data.
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