When it comes to data warehouse vs data lake, sometimes the issue is whether the users require reliable reports quickly. Processed and structured information is typically stored in a warehouse, which will be simpler to use for business teams to run dashboards and standard queries. A data lake stores data in its raw format, allowing for flexibility and ease of data science and data exploration. Some businesses that are primarily interested in ensuring consistent reporting could benefit from a warehouse, while organizations that work with numerous data formats might be better suited with a lake. For large firms, there is no reason why not to use both methods.
