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Querying Data with Transact-SQL Combined with Generative AI

מספר הקורס 21761

40 סה"כ שעות אקדמאיות
5 מפגשים
* מספר המפגשים והשעות למפגש עשויים להשתנות בין קורס לקורס

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קורס ערב


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קורס בוקר


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קורס בוקר


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קורס ערב


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This course is designed to introduce students to Transact-SQL. It is designed in such a way that the first three days can be taught as a course to students requiring the knowledge for other courses in the SQL Server curriculum. Days 4 & 5 teach the remaining skills required to take exam 70-761.

In order to expose the participants to the new revolutions in the field, the course will include a module on 'generic artificial intelligence in database management'. This module will demonstrate how AI is changing SQL databases, from creating synthetic datasets to optimizing queries.


On Completion, Delegates will be able to

Describe key capabilities and components of SQL Server .

Describe T-SQL, sets, and predicate logic.

Write a single table SELECT statement.

Write a multi-table SELECT statement.

Write SELECT statements with filtering and sorting.

Describe how SQL Server uses data types.

Write DML statements.

Write queries that use built-in functions.

Write queries that aggregate data.

Write subqueries.

Create and implement views and table-valued functions.

Use set operators to combine query results.

Write queries that use window ranking, offset, and aggregate functions.

Transform data by implementing pivot, unpivot, rollup and cube.

Create and implement stored procedures.

Add programming constructs such as variables, conditions, and loops to T-SQL code.


Who Should Attend

• Database Administrators

• Database Developers

• BI professionals


תכנית הלימודים

Full syllabus

Module 1: Introduction to Microsoft SQL Server

 This module introduces SQL Server, the versions of SQL Server, including cloud versions, and how to connect to SQL Server using SQL Server Management Studio.

The Basic Architecture of SQL Server

SQL Server Editions and Versions

Getting Started with SQL Server Management Studio

 Module 2: Introduction to T-SQL Querying

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

Module 3: Writing SELECT Queries

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

 Module 4: Querying Multiple Tables

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

Module 5: Sorting and Filtering Data

 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

Module 6: Working with SQL Server Data Types

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

Module 7: Using DML to Modify Data 

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

Inserting Data

Modifying and Deleting Data

Module 8: Using Built-In Functions

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

Module 9: Grouping and Aggregating Data

This module describes how to use aggregate functions.

Using Aggregate Functions

Using the GROUP BY Clause

Filtering Groups with HAVING

 Module 10: Using Subqueries

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

Module 11: Using Table Expressions

 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

Module 12: Using Set Operators

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



Module 13: Using Windows Ranking, Offset, and Aggregate Functions

 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

 Module 14: Pivoting and Grouping Sets

 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

Module 15: Implementing Transactions

This module describes how to implement transactions.

Transactions and the database engines

Controlling transactions

Module 16: Integrating Generative AI with MS SQL

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

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.

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