February 23, 2022
As businesses leverage data in everything they do, more are unifying their data warehouse and data lake into a powerful new architecture, which increasingly goes by the popular name lakehouse.
This trend gives organizations an opportunity to democratize data access and thereby deliver more intelligent, contextual, and powerful data analytics applications. Indeed, the operationalization of deep learning, machine learning, natural language processing, and other artificial intelligence applications depends on enterprises’ ability to deliver on the lakehouse’s promise of ubiquitous data and analytics.
To accelerate data’s democratization, enterprises must ensure that all users can consume the data lakehouse’s capabilities in self-service, no-code, mobile, cloud, embedded, edge, and other use cases.
This TDWI Checklist offers best practices for maximizing the use of cloud-based data lakehouses for a full range of enterprise applications. These practices focus on simplicity, clarity, usability, acceleration, and automation.