While both data lakes and data warehouses store large amounts of data, they differ in how they handle data. Data lakes store raw, unstructured data, making them ideal for big data analytics. In contrast, data warehouses are structured repositories optimized for processing and analyzing structured data, typically used for reporting and business intelligence. https://azuretrainings.in/azure-data-factory-training-in-hyderabad/