The presence of big data has forced many organizations to determine new solutions. Those solutions include data warehouses and data lakes. What is the difference between the two? DATAVERSITY brought this information to us in their article, “Data Warehouse vs. Data Lake Technology: Different Approaches to Managing Data.”
Not all business data requirements fit into the same category of solutions. When viewed through the lens of a focused data architecture strategy, the choices become more well-defined.
Where enterprises or projects have complex and diversified data with many different concepts, data lake strategies have been more successful compared to data warehouses.
Data lakes allow businesses to stay on top of a fast-moving marketplace and with ever-changing data uses and needs. It is important for businesses to understand both data warehouses and data lakes and when and how to apply them.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
