Data warehouses or data lakes used to be the only options for organizing massive volumes of analytics data. Now there’s a third option: a unified data warehouse/data lake (DW/DL) where the two architectures integrate, interoperate, and share data standards.
Download this report to learn about this new direction in enterprise data architectures, including:
Use cases, terminology, data tools (like data pipelines), disciplines, and organizational strategies in unified DW/DLs
Nine recommendations for choosing and implementing a unified DW/DL
How to derive business value from data, whether in operations or analytics