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How to Prevent A Data Lake from Becoming a Data Swamp

By   /  July 14, 2017  /  Big Data Blogs, Big Data News, Articles, & Education, Data Architecture Blogs, Data Architecture News, Articles, & Education, Data Blogs | Information From Enterprise Leaders, Data Education, Enterprise Information Management, Information Management Blogs, Smart Data Blogs, Smart Data News, Articles, & Education  /  No Comments

Click to learn more about video blogger Andrew Brust. The Big Data & Brews video blog series continues with host Andrew Brust, Senior Director of Market Strategy and Intelligence. The series touches on hot topics within the business of Big Data, Analytics, Internet of Things, Machine Learning, Cloud Computing, Modern BI, NoSQL and Next Generation Technologies. In […]

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Keep Your Data Lake from Turning Into a Swamp with Semantics

By   /  November 9, 2015  /  Data Daily | Data News, Data Education, Education Resources For Use & Management of Data, Smart Data News, Smart Data News, Articles, & Education  /  No Comments

by Angela Guess Jans Aasman recently wrote in Data Informed, “According to Gartner Research Director Nick Heudecker, ‘Data lakes typically begin as ungoverned data stores. Meeting the needs of wider audiences requires curated repositories with governance, semantic consistency, and access controls.’ It’s important not to overly constrain the data, but without sensible governance, users soon […]

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Avoiding Data Swamps with Big Data Governance

By   /  July 28, 2015  /  Big Data Articles, Big Data News, Articles, & Education, Data Articles | Data Science, Business Intelligence, & More, Data Education, Data Governance & Data Quality | News & Articles, Data Governance Articles, Education Resources For Use & Management of Data, Smart Data Articles, Smart Data News, Articles, & Education  /  No Comments

by Jelani Harper Michele Goetz at Forrester recently wrote that “…Big Data is creating data swamps even in the best intentioned efforts…Analysts will still spend up to 80% of their time just trying to create the data set to draw insights.” Implicit in this statement is the reality that whether organizations are attempting to leverage […]

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