Advanced Querying for SQL Databases Course Overview

To ensure you are well-prepared and can gain the maximum benefit from the Advanced Querying for SQL Databases course, the following prerequisites are recommended:

• Basic understanding of relational databases and their purpose.
• Familiarity with the fundamental concepts of SQL, including writing simple SELECT statements.
• Knowledge of how to use a database management system (DBMS), preferably with experience in Microsoft SQL Server.
• Ability to perform basic operations on a computer running Windows, as the tools and examples provided are often based on this operating system.
• An understanding of core programming concepts can be beneficial, though not strictly necessary for this course.

These prerequisites are designed to provide a foundation upon which the course material can build. They are not meant to be barriers to entry, but rather to ensure a cohesive learning experience that allows all participants to engage with the advanced topics effectively. If you are unsure about your level of readiness, please feel free to reach out for an assessment or for resources to help prepare you for the course.

Target Audience for Advanced Querying for SQL Databases

The Advanced Querying for SQL Databases course is designed for IT professionals aiming to master SQL querying and database management.

Target audience for the course includes:

• Database Administrators
• SQL Server Developers
• Business Intelligence Professionals
• Data Analysts
• IT Professionals looking to enhance their SQL querying skills
• Software Engineers who interact with databases
• Systems Analysts
• Data Scientists with a focus on data retrieval and manipulation
• Report Writers
• Technical Support Specialists dealing with databases
• Database Designers looking to improve query performance
• Data Architects seeking advanced querying techniques

Learning Objectives - What you will Learn in this Advanced Querying for SQL Databases?

1. Introduction to Learning Outcomes: Gain advanced T-SQL querying skills and methodologies for SQL databases, including data retrieval, aggregation, error handling, transactions, and performance tuning.

2. Learning Objectives and Outcomes:

• Understand advanced querying benefits and the role of T-SQL in SQL databases.
• Master data retrieval techniques, sorting, and filtering from multiple tables using T-SQL.
• Learn to efficiently combine data with various types of joins and write complex subqueries.
• Develop skills in grouping data and utilizing aggregate functions to summarize datasets.
• Work with NULL values and understand their impact on query results and aggregations.
• Utilize table expressions such as CTEs, derived tables, and temporary tables to structure queries.
• Apply advanced querying techniques using window functions and ranking functions.
• Create, pivot, and unpivot data sets for advanced data analysis and reporting.
• Design and implement stored procedures, user-defined functions, and triggers to automate tasks.
• Manage error handling with Try-Catch blocks and control transactions to ensure data integrity.
• Analyze and interpret query execution plans to identify and implement performance tuning strategies.