In this module, we will address fundamental questions about SQL and Microsoft SQL Server. We will explore why learning SQL is crucial for database management and career growth, along with examining alternative database technologies to provide a broader understanding of the field.

In this module, we will go through the step-by-step process of setting up our SQL Server environment. Whether using Windows, Mac, or Linux, we will install SQL Server and the necessary management tools to ensure we are ready to start working with databases efficiently.

In this module, we will focus on setting up a working database using Adventure Works. We will gain hands-on experience in creating, configuring, and understanding the database structure to build a strong foundation for data management and querying.

In this module, we will explore Data Definition Language (DDL) commands that define the structure of a database. We will learn how to create, modify, and delete tables, enforce constraints, and ensure our database schema remains optimized and efficient.

In this module, we will focus on retrieving data using SQL queries. We will learn how to filter, sort, and manipulate data efficiently while exploring advanced querying techniques such as JOINs, UNIONs, and aggregation to extract meaningful insights.

In this module, we will build on our querying skills by exploring subqueries, CTEs, and window functions. We will also learn how to handle NULL values and refine our SQL queries to improve performance and readability.

In this module, we will focus on inserting data into tables using different methods. We will explore full and partial inserts, work with related data, and use the SELECT INTO statement to streamline data insertion processes.

In this module, we will learn how to update and delete records in a database while maintaining data integrity. We will explore best practices for modifying data, preventing accidental deletions, and handling cascading relationships.

In this module, we will explore the creation of views and functions to enhance database management. We will learn to simplify queries using views and create reusable functions to improve efficiency in data manipulation and reporting.

In this module, we will introduce control-of-flow statements that allow us to add logic to our SQL scripts. We will explore how to use loops, conditional statements, and branching techniques to make our queries more dynamic and efficient.

In this module, we will explore the creation of advanced T-SQL routines such as stored procedures, triggers, and cursors. We will learn how to automate tasks, improve performance, and handle complex database operations efficiently.

In this module, we will focus on managing database transactions to ensure data consistency and reliability. We will explore different transaction types, learn about locking mechanisms, and simulate concurrency scenarios to optimize performance.

In this module, we will summarize our learning journey and review the key concepts covered in the course. We will discuss best practices for ongoing development and explore how to apply our SQL knowledge in professional environments.