Difference Between a Data Lake and a Data Warehouse
Organizations seek scalability across data processing activities. Therefore, they want data lakes and warehouses. Such ecosystems are indispensable to businesses expecting sustainable, compliant data practices to thrive in the data-centric world. Both approaches to data storage and sorting serve entirely different purposes. Without understanding such differences, brands will fail at building an appropriate data infrastructure.