By using website you agree to our use of cookies as described in our cookie policy. Learn More


checklist report cover image

TDWI Checklist Report | The Wisdom of Transitioning to a Data Lakehouse Strategy

December 16, 2021

Organizations bent on deploying a strategy for digital transformation are rapidly transitioning their data and applications to the cloud.

Cloud modernization has become the rallying cry for organizations looking to take advantage of advanced analytics using machine learning and artificial intelligence while continuing to support traditional data warehouse consumers.

Data consumers with different needs and expectations have become more sophisticated in the use of analytics and data science tools, and their expectations for data democratization have created demand for a simplified way to access data assets shared across the enterprise without the constraints imposed by the traditional data warehouse architecture.

This TDWI Checklist examines the limitations of existing data architecture strategies when supporting emerging and future analytics needs and how a data lakehouse approach addresses those limitations.

Your e-mail address is used to communicate with you about your registration, related products and services, and offers from select vendors. Refer to our Privacy Policy for additional information.

TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.