Advanced Data Retrieval Techniques in SQL Server
This course will teach you advanced querying, indexing, and data analysis skills.
What you'll learn
Elevating your expertise in SQL Server data management, this course is meticulously crafted to enhance your skills in complex data retrieval and optimization. In this course, Advanced Data Retrieval Techniques in SQL Server, you will delve into sophisticated methods for extracting and analyzing data. First, you'll explore advanced JOIN operations, including self and cross joins, and learn to utilize subqueries for enhanced data retrieval. This section is vital for understanding complex data relationships and fetching data effectively. Next, you'll master set operations like UNION, INTERSECT, and EXCEPT, and understand the use of aggregation functions such as SUM, AVG, COUNT, MIN, and MAX. These skills are crucial for manipulating large data sets and summarizing data for insightful analysis. Finally, you'll dive into indexing strategies and best practices, crucial for improving data retrieval performance. When you’re finished with this course, you'll possess the advanced skills required to handle complex data retrieval and optimization tasks in SQL Server, preparing you to tackle the challenges of managing large and dynamic databases in the professional world.
Table of contents
About the author
Pinal Dave is an SQL Server Performance Tuning Expert and independent consultant with over 21 years of hands-on experience. He holds a Master of Science degree and numerous database certifications. Pinal has authored 14 SQL Server database books and 61 Pluralsight courses. To freely share his knowledge and help others build their expertise, Pinal has also written more than 5,700 database tech articles on his blog at https://blog.sqlauthority.com.