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Updated in [February 21st, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)

This course will teach you to monitor query executions in Databricks SQL, and also regulate access to query objects. You will learn how to optimize query executions with caches, encrypt queries, and configure alerts based on query results.
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.What can you get from this course?
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge they need to confidently manage queries in Databricks SQL. Learners will learn how to create Delta tables and queries, how to optimize query execution times with caching, and how to monitor query results and trigger alerts. Additionally, learners will gain an understanding of query management in Databricks SQL, including how to encrypt queries and configure alerts based on query results. With this knowledge, learners will be able to ensure that their queries are configured correctly, that they run in an optimal manner, and that they are alerted the moment their results point to something that is off.

How does this course contribute to professional growth?
This course contributes to professional growth by providing learners with an in-depth understanding of query management in Databricks SQL. Learners will gain the skills and knowledge needed to confidently manage queries in Databricks SQL, optimize query execution times with caching, and monitor query results and trigger alerts. This knowledge can be applied to data engineering, data analysis, database administration, and data science roles, and can help learners pursue further education in related fields such as computer science, data science, and business analytics.

Is this course suitable for preparing further education?
This course is suitable for preparing further education, as it provides learners with an in-depth understanding of query management in Databricks SQL. Learners will gain the skills and knowledge they need to confidently manage queries in Databricks SQL, which is essential for any data engineer or analyst who wants to make the most of this platform. Additionally, learners can further their knowledge by taking courses on other aspects of Databricks SQL, such as Data Modeling and Data Visualization, as well as related topics, such as Big Data Analytics and Machine Learning. With the increasing demand for data-driven solutions, degree paths such as a Bachelor of Science in Computer Science, Master of Science in Data Science, Master of Science in Business Analytics, and Doctor of Philosophy in Data Science are becoming increasingly popular and are expected to continue to grow in the coming years.