Why would you need a data lake?
1) Centralized storage: A data lake provides a centralized repository for storing all data types, regardless of format or structure. This makes it easier for organizations to manage and analyze their data.
2) Scalability: A data lake can scale to store large amounts of data, making it a good choice for organizations with rapidly growing data volumes.
3) Analytics: A data lake can serve as a foundation for advanced analytics, such as machine learning and artificial intelligence, by providing sources of data for the models to train.