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When data is being dumped into your data lake without suitable oversight and documentation, it becomes difficult for data management and governance teams to keep track of what's in the data lake.
How can you prevent your data lake from turning into a data swamp?
The value of a data lake can be enhanced significantly by including strong data governance combined with metadata management, data quality and data security processes in the design, loading and maintenance of the environment.
Access this e-guide to learn about 5 common data governance challenges encountered in a data lake implementation and how you can overcome them to maximize the value of your data lake.