March 29, 2019
Today's organizations are choosing cloud computing, in all its variations, for a widening array of applications, services, and data needs. They are drawn by the elasticity, scalability, speed, and ease with which they can spin up cloud-based systems and services compared to configuring on-premises systems.
Data warehouses, although still valuable, are being augmented or replaced by data lakes that can store all kinds of raw, detailed data. Many organizations today are choosing to base their data lakes in the cloud so they can take advantage of service-based flexibility, scale, and the promise of better economics while avoiding having to develop, configure, and maintain data lakes on their own.
Organizations need data preparation processes and solutions that can help them accelerate cloud data lake adoption, take advantage of the cloud’s evolution, and reduce time to value. This TDWI Checklist offers six steps for achieving these goals.