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

Enable every organization to be data-driven

 

Snowflake
checklist cover image

TDWI Checklist Report | Critical Success Factors for Data Lake Architecture

March 31, 2020

The data lake has come a long way. Today it is a well-estab­lished design pattern and data architecture for profound applications in data warehousing, reporting, data science, and advanced analytics as well as operational environments for marketing, supply chain, and finance.

Over the years, users’ expectations, best practices, and business use cases for the data lake have evolved, as have the available data platforms upon which a data lake may be deployed. This evolution is forcing changes in how data lakes are designed, architected, and deployed.

This TDWI Checklist Report drills into the many issues, design patterns, and best practices of data architectures with a focus on modernizing data lake architectures. The report also touches on the many practical use cases—in analytics and elsewhere—that a well-constructed data lake architecture can support and nurture, as well as the types of data platforms and tools that commonly go into such architectures.

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.