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Data Digest: Endless Possibilities in Big Data, Big Data Evolution, and 5 Steps for Cybersecurity

How to address problems enterprises face in adopting big data, plus the rise of real-time analytics and a five-step strategy for staying cybersecure.

Endless Possibilities in Big Data -- Even Now
(Source: Datanami)

Big data can be intimidating in size, but enterprises need to understand that practically anything is possible using analytics. According to this article, the main problem with big data adoption is that people do not know the power of big data. This article covers the problems enterprises face in adoption and how to overcome them.

 

Real-Time Analytics is the Evolution of Big Data
(Source: I Crunch Data News)

The most efficient use of big data is analyzing it as soon as your enterprise gets it. Also known as real-time or streaming analytics, this process is the next big thing in big data. This article is the first in a multi-part series on the rise and impact of real-time analysis in the enterprise.

 

A Five-Step Strategy for Staying Cybersecure
(Source: Tech Republic)

Nobody wants a repeat of 2015’s prolific cybercrimes. That is why NIST has released a five-point framework for keeping your enterprise secure. This article covers the highlights and links to the document for further guidance.

About the Author

Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.


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