8 Data Management Requirements for Data Lake

The Data Lake is increasingly becoming a mainstream technology, according to Gartner. Data Lakes are assisting organizations in expanding their data warehouse environments, giving them the ability to manage more dynamic data volumes. As you mull the pros and cons of deploying a Data Lake, it’s important to ensure that your Data Integration strategy also evolves with your frameworks. Some companies are taking a best-of-breed approach in this way, while others are going ahead with the vendor stack. This slideshow presentation, courtesy of SnapLogic, outlines the top 8 Data Management requirements that businesses must address prior to installing the Data Lake. How well your organization is able to cope with these requirements will decide whether or not your enterprise sinks or swims:

 

Follow Tim

Timothy King

Senior Editor at Solutions Review
Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.
Timothy King
Follow Tim

Leave a Reply

Your email address will not be published. Required fields are marked *