A data lake is a repository for centrally storing large amounts of data in its raw form, including structured, unstructured, and semi-structured data. It is highly scalable and supports all data types, allowing organizations to use data as-is without first cleaning, transforming, or structuring it.
When users want to access data for analytics use cases and big data applications, they can process the data and use machine learning (ML) solutions to extract actionable insights. The main advantage of a data lake is its ability to store all enterprise data from various sources. Users can quickly collect, store, and share data for later use.
This is part of an extensive series of guides about data security
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