Building the Unified Data Warehouse and Data Lake

TDWI Best Practices Report

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.

Please note that by submitting your personal data, you agree to receive marketing messages and other communications from Qlik. You may opt-out of receiving further communications at any time. For further information please see our Privacy Policy.
Don’t miss out! – your registration includes updates on free help, business trends, and updates from Qlik. You may opt-out of receiving further communications at any time. For further information, please see our Privacy Policy.
Yes, I would like to receive email communications related to Qlik including product information and invitation-only social events. I understand that any information I provide will be treated in accordance with the Qlik Privacy Policy.
Please note that by submitting your personal data, you agree to receive marketing messages and other communications from Qlik. You will receive an email for you to confirm you are opting-in. You may opt-out of receiving further communications at any time. For further information please see our Privacy Policy.

Please note your data may leave China.