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Alderamin, A. et al. Keeping the data lake in form: Skin datasets' categorization using proximity mining. A: International Conference on Model and Data Engineering. “Model and Data Engineering,

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What is keeping the data lake?

Keeping the data lake refers to the practice of storing large volumes of structured and unstructured data in a centralized repository, which allows for easier data management and analytics.

Who is required to file keeping the data lake?

Organizations that generate, process, or store significant amounts of data for analysis and reporting purposes are typically required to file keeping the data lake.

How to fill out keeping the data lake?

Filling out keeping the data lake involves documenting all the relevant data sources, data types, and purposes of data collection while ensuring compliance with data governance policies.

What is the purpose of keeping the data lake?

The purpose of keeping the data lake is to enable efficient data storage, facilitate data analysis, ensure data accessibility, and support business intelligence initiatives.

What information must be reported on keeping the data lake?

Information such as data source identification, data types, access controls, data lineage, and compliance measures must be reported on keeping the data lake.

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