Data Engineering on Microsoft Azure: Data Partitioning
“Partitioning data is key to ensuring efficient processing. In this course you ll explore what data partitioning is and the strategies for implementation. You ll learn about transactional and analytical workloads and how to determine the best strategy for your files and table storage. Then you ll examine design patterns for efficiency and performance. You ll learn about partitioning dedicated SQL pools in Azure Synapse Analytics and partitioning data lakes. Finally you ll learn how data sharding across multiple data stores can be used for improving transaction performance.
This course is one in a collection that prepares learners for the Microsoft Data Engineering on Microsoft Azure (DP-203) exam.”