A Data Lake provides you with a centralized repository for a wide variety of data forms in a central platform. It supports structured, semi-structured, and unstructured data types. With Data Lakes, you can break down data silos and support a wide range of applications across analytics and machine learning use cases. Moreover, you can achieve all these capabilities without moving or duplicating data or interfering with different use cases.

To break it down, imagine structured, semi-structured, and unstructured data from various forms of documents, databases, text, JSON, and much more. How can an organization place all this data into a repository to go through the process of ETL and convert it into normalized data? Through Data Lakes.