Measuring Query Performance
The efficient queries not only facilitate swift data retrieval and processing but also pinpoint areas for improvement and resource optimization. Key metrics such as execution time, resource consumption, and data movement efficiency play pivotal roles in this process. Leveraging tools such as Azure Monitor, query profiling, and indexing strategies helps to track and fine-tune query performance. Ultimately, by comprehending the impact of query design, resource allocation, and data movement, you can construct robust and efficient data solutions on the Azure platform.
Query performance is a remarkably interesting topic in databases and analytical engines such as Spark and Hive. In this section, you will get an overview of how to monitor query performance in Synapse dedicated SQL pools and Spark.
Note
This section primarily focuses on the Measure query performance concept of the DP-203: Data Engineering on Microsoft Azure exam.
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