Querying Data With Microsoft Transact SQL

Overview:

Introduction:

Microsoft Transact-SQL (T-SQL) is a fundamental language for querying and managing data in Microsoft SQL Server. It provides the tools to retrieve, manipulate, and analyze data effectively, enabling professionals to leverage data for insights and decision-making. This training program focuses on the concepts and syntax of T-SQL for querying relational databases. It covers the principles of writing efficient queries and structuring data retrieval to support organizational requirements.

Program Objectives:

By the end of this program, participants will be able to:

• Identify the role of T-SQL in querying relational databases.

• Explore the syntax and structure of T-SQL queries.

• Define and execute queries to retrieve and organize data.

• Recognize the principles of filtering, grouping, and sorting data.

• Use advanced querying techniques to meet specific data requirements.

Target Audience:

• Database administrators and developers.

• Data analysts and business intelligence professionals.

• IT professionals managing SQL Server environments.

• Employees seeking foundational knowledge in T-SQL.

Program Outline:

Unit 1:

Introduction to Microsoft Transact-SQL:

• Overview of T-SQL and its applications.

• Understanding the structure of relational databases.

• Key concepts of querying and data manipulation.

• Syntax and elements of T-SQL statements.

• Principles of database normalization.

Unit 2:

Writing Basic Queries:

• Select statements for data retrieval.

• Using WHERE clauses for filtering data.

• Sorting and ordering results with ORDER BY.

• Limiting data output with TOP and OFFSET-FETCH.

• Combining multiple tables with JOINs.

Unit 3:

Working With Functions and Expressions:

• Built-in functions for string, numeric, and date data.

• Using aggregate functions for summarizing data.

• Creating calculated columns and expressions.

• Null values and their impact on queries.

• Applying CASE statements for conditional logic.

Unit 4:

Advanced Querying Techniques:

• Subqueries and derived tables.

• Common table expressions (CTEs).

• Grouping and aggregating data with GROUP BY.

• Using HAVING clauses to filter grouped data.

• Window functions for advanced analysis.

Unit 5:

Data Management and Query Optimization:

• Inserting, updating, and deleting data with T-SQL.

• Principles of query optimization and indexing.

• Troubleshooting common query performance issues.

• Best practices for writing efficient queries.

• Understanding execution plans for performance analysis.