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.