Queries lie at the heart of Databricks SQL and managing them correctly will ensure that we make the best use of this platform. In this course, Monitoring and Optimizing Queries in Databricks SQL, you will learn various aspects of query management, from basic administration to encryption, with a special emphasis on query monitoring and optimization. First, you will explore how to create a Delta table and queries which run against it. Next, you will discover how query execution times can be reduced by two different caching mechanisms supported by Databricks SQL – Delta caching and Spark caching. Finally, you will learn how we can monitor the results of query executions and trigger an alert when those results fulfill a specific condition. At the end of this course, you will be well-versed with various aspects of query management, which will help you ensure that your queries are configured correctly, that they run in an optimal manner, and that you are alerted the moment their results point to something that is off.
Author Name: Kishan Iyer
Author Description:
I have a Masters in Computer Science from Columbia University and have worked previously as a developer and DevOps engineer. I now work at Loonycorn which is a studio for high-quality video content. My interests lie in the broad categories of Big Data, ML and Cloud.