TDWI Best Practices Report: Building the Unified Data Warehouse and Data Lake

By: Fern Halper, Ph.D.,VP and Research Director for Advanced Analytics

James Kobielus, Senior Research Director for Data Management

For years, TDWI research has tracked the evolution of data warehouse architectures as well as the emergence of the data lake. The two have recently converged to form a new and richer data architecture. Within this environment, data warehouses and data lakes can incorporate distinct but integrated, overlapping, and interoperable architectures that incorporate data storage, mixed workload management, data virtualization, content ETL, and data governance and protection.

This TDWI Best Practices Report examines the convergence of the data warehouse and data lake, including drivers, challenges, and opportunities for the unified DW/DL and best practices for moving forward.

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