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Data lakes started as a place for big data discovery and exploration for highly-technical users. But leading organizations have evolved data lakes to support a wide variety of business use cases, assisted by machine learning and artificial intelligence, visual analytics, BI tools, and other methods.
The data native concept helps explain how big data should be used, particularly for data lakes. But so many attempts at building data lakes have failed due to process and technology mismatches.
Join us for this webinar with industry experts from Evolved Media, Arcadia Data, and MapR to learn:
- Why and how data lakes have failed over the years
- What key analytic and data governance capabilities you should aspire to have in your data lake
- Key challenges to overcome
- Principles to consider for your data lake strategy