The main difference between data lake vs data warehouse is the manner in which data is stored and processed. A data lake stores raw structured and unstructured data that can be used for analytics and machine learning. Cleaned, organized, data that will be used in reporting and business intelligence is stored in a data warehouse. You can select the appropriate one based on your business objective, the data size and requirements for report generation. I have discovered that Datalance has a number of resources that help explain what these concepts are, but not too much and not too complicated.
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