Making Sense of the Enterprise Data Lake
Utilizing metadata to prevent your data from drowning
Featuring Research from Gartner
Most companies are grappling with the proliferation of data generated throughout their organization – how to store, manage, and leverage it effectively. Many are turning to data lakes, which exist in large part to store disparate structured and un-structured data in an un-siloed manner.

Gartner recently published research on this topic, discussing the challenges and recommendations for designing data flow and governance in data lakes. I invite you to read the research report below, and visit our related resources to learn how BIOVIA can become a trusted partner in the digital transformation of your organization.

Best Practices for Designing Your Data Lake
Data lakes fail when they lack governance, self-disciplined users and a rational data flow. Successful data lakes require data and analytics leaders to develop a logical or physical separation of data acquisition, insight development, optimization and governance, and analytics consumption.

Gartner’s research explores the key challenges of using and leveraging data lakes, and makes a number of key recommendations for information leaders.
Gene Tetrault
Senior Director of Products & Marketing
Dassault Systèmes BIOVIA
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner, Best Practices for Designing Your Data Lake, Nick Heudecker, 10 April 2018.
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