Kusto Query Language (KQL)
May 13, 2024
3 minute read
Kusto Query Language (KQL) is a powerful tool for querying and analyzing data in Azure Data Explorer. It is a declarative language, which means that you can express your queries in a natural and easy-to-understand way. KQL is also a very expressive language, which means that you can use it to perform a wide variety of tasks, from simple data retrieval to complex data analysis.
Why Learn Kusto Query Language?
dmswsi|
Find a path to becoming a Kusto Query Language (KQL). Learn more at:
OpenCourser.com/topic/dmswsi/kusto
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Kusto Query Language (KQL).
Provides best practices for using KQL to ensure efficient and effective data analysis. It covers topics such as query optimization, performance tuning, and security.
Practical guide to using KQL for system administration. It provides numerous examples and exercises that demonstrate how to use KQL to monitor system performance, troubleshoot issues, and manage resources.
Practical guide to using KQL for data science. It provides numerous examples and exercises that demonstrate how to use KQL to analyze data, build models, and make predictions.
Practical guide to using KQL for business analysis. It provides numerous examples and exercises that demonstrate how to use KQL to analyze business data, identify trends, and make informed decisions.
Beginner-friendly introduction to KQL. It provides a step-by-step guide to using KQL to perform basic data analysis tasks.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/dmswsi/kusto