Querying Data with Transact-SQL Combined with Generative AI

This module describes the elements of T-SQL and their role in writing queries. Describe the use of sets in SQL Server. Describe the use of predicate logic in SQL Server. Describe the logical order of operations in SELECT statements.

• Introducing T-SQL
• Understanding Sets
• Understanding Predicate Logic
• Understanding the Logical Order of Operations in SELECT statements

This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.

• Writing Simple SELECT Statements
• Eliminating Duplicates with DISTINCT
• Using Column and Table Aliases
• Writing Simple CASE Expressions

This module describes how to write queries that combine data from multiple sources in Microsoft SQL Server.

• Understanding Joins
• Querying with Inner Joins
• Querying with Outer Joins
• Querying with Cross Joins and Self Joins

This module describes how to implement sorting and filtering.

• Sorting Data
• Filtering Data with Predicates
• Filtering Data with TOP and OFFSET-FETCH
• Working with Unknown Values

This module introduces the data types SQL Server uses to store data.

• Introducing SQL Server Data Types
• Working with Character Data
• Working with Date and Time Data

This module describes how to create DML queries, and why you would want to.

• Inserting Data
• Modifying and Deleting Data

This module introduces some of the many built in functions in SQL Server.

• Writing Queries with Built-In Functions
• Using Conversion Functions
• Using Logical Functions
• Using Functions to Work with NULL

This module describes how to use aggregate functions.

• Using Aggregate Functions
• Using the GROUP BY Clause
• Filtering Groups with HAVING

This module describes several types of subquery and how and when to use them.

• Writing Self-Contained Subqueries
• Writing Correlated Subqueries
• Using the EXISTS Predicate with Subqueries

Previously in this course, you learned about using subqueries as an expression that returned results to an outer calling query. Like subqueries, table expressions are query expressions, but table expressions extend this idea by allowing you to name them and to work with their results as you would work with data in any valid relational table. Microsoft SQL Server supports four types of table expressions: derived tables, common table expression (CTEs), views, and inline table-valued functions (TVFs). In this module, you will learn to work with these forms of table expressions and learn how to use them to help create a modular approach to writing queries.

• Using Views
• Using Inline Table-Valued Functions
• Using Derived Tables
• Using Common Table Expressions

This module introduces how to use the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets.

• Writing Queries with the UNION operator
• Using EXCEPT and INTERSECT
• Using APPLY

This module describes the benefits to using window functions. Restrict window functions to rows defined in an OVER clause, including partitions and frames. Write queries that use window functions to operate on a window of rows and return ranking, aggregation, and offset comparison results.

• Creating Windows with OVER
• Exploring Window Functions

This module describes write queries that pivot and unpivot result sets. Write queries that specify multiple groupings with grouping sets

• Writing Queries with PIVOT and UNPIVOT
• Working with Grouping Sets

This module describes how to implement transactions.

• Transactions and the database engines
• Controlling transactions

This module describes how to Integrate Generative AI with MS SQL

• Introduction toGenerative AI
• Importance of AI in the SQL Domain
• Enhance and simplify SQL query
• Integrating Generative AI with MS SQL for Data Analytics