Work with Dynamic Data Patterns in SQL Server
Extracting information from data usually requires some processing. This course will show you how to partition your data in order to gain valuable insights without writing difficult queries.
What you'll learn
A useful functionality in SQL Server is the ability to perform calculations on a subset of table rows related to the current row.
In this course, Work with Dynamic Data Patterns in SQL Server, you’ll gain the ability to partition your data in order to gain valuable insights without writing difficult queries.
First, you’ll discover what window functions are.
Next, you’ll explore some real-life scenarios where using window functions in your queries comes in handy.
Finally, you’ll learn how to use different window functions in several scenarios, like calculating running totals and rolling averages, as well as examining benchmarks for comparison.
When you’re finished with this course, you’ll have the skills and knowledge of window functions needed to enhance your SQL queries' efficiency.
Table of contents
About the author
Ana Voicu is a seasoned data engineer with a deep passion for databases, business intelligence, and data science. She specializes in developing enterprise-level Business Intelligence solutions across diverse industries, focusing on performance optimization, pattern recognition, efficient business process analysis, and interactive visualizations. Ana thrives on tackling database performance challenges, particularly those involving high data volume applications. Beyond her technical expertise, she... more