Data Engineering on Microsoft Azure: Designing Data Storage Structures

“Planning the structure for data storage is integral to performance in big data operations. In this course you ll learn about key considerations for data lakes and how to determine which file type and file format are the most appropriate for your use case. Then you ll explore how to define how to design table storage for efficient querying and how data pruning can remove unnecessary data to accelerate transactions. You ll examine folder structures and data lake zones for organizing data effectively. Finally you ll learn how to define storage tiers and how to manage the life cycle of data.

This course is one in a collection that prepares learners for the Microsoft Data Engineering on Microsoft Azure (DP-203) exam.”