8 Data Management Requirements for Data Lake
-
By
Tim King
, Executive Editor at Solutions Review - Best Practices, Presentations,
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:
This article was written by Tim King on May 13, 2016
Tim King
Executive Editor
Tim is Solutions Review's Executive Editor covering the human impact of AI on the future of work and learning. He is also the Media Strategist behind Insight Jam (1M+ on YouTube) events and programming. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in multiple categories, Tim is a recognized thought leader in enterprise tech and AI.
- Data Lakehouse Architecture Layers: AI Needs More Than Just Infrastructure - June 23, 2026
- Data Management News for the Week of June 19; Updates from Airbyte, Collibra, Confluent & More - June 19, 2026
- Data Management News for the Week of June 12; Updates from Hitachi Vantara, IBM, Phoenix AI & More - June 12, 2026

