Advanced Transact SQL in SQL Server

Inquire now

Duration: 5 days – 35 hrs.

Overview

This course is designed to teach advanced T-SQL programming techniques for SQL Server. Participants will learn how to write efficient and scalable T-SQL code using advanced features and techniques. The course covers topics such as advanced querying, performance tuning, database design, and programming constructs.

 

Objectives

  • Write complex T-SQL queries using advanced features such as subqueries, window functions, and common table expressions.
  • Use advanced T-SQL programming constructs such as user-defined functions, stored procedures, and triggers to improve performance and maintainability.
  • Optimize query performance using indexing, query tuning, and execution plans.
  • Design and implement efficient database schemas using normalization, constraints, and best practices.
  • Work with XML and JSON data in SQL Server.
  • Understand security and permissions in SQL Server.

 

Audience

  • Database Administrators
  • Programmers
  • Developers
  • BI (Business Intelligence) professionals
  • Data Analysts
  • Database and data warehousing professionals

 

Pre- requisites 

  • Deep understanding on basic SQL development using SQL server.
  • SQL server experience basic. 

 

Course Content

Module 1: Advanced Querying

  • Subqueries and correlated subqueries
  • Window functions
  • Pivoting and unpivoting data
  • Hierarchical queries using recursive CTEs

 

Module 2: Advanced T-SQL Programming

  • User-defined functions (UDFs)
  • Stored procedures and parameters
  • Triggers and their use cases
  • Dynamic SQL and its dangers

 

Module 3: Query Performance Tuning

  • Indexing strategies and techniques
  • Query tuning using execution plans
  • Understanding query optimizer behavior
  • Monitoring and troubleshooting query performance

 

Module 4: Database Design and Best Practices

  • Normalization and denormalization
  • Constraints and integrity
  • Partitioning and archiving data
  • Handling database growth and maintenance

 

Module 5: Working with XML and JSON Data

  • Introduction to XML and JSON formats
  • XML and JSON data types and functions
  • Parsing and shredding XML and JSON data
  • Indexing and querying XML and JSON data

 

Module 6: Security and Permissions

  • Understanding SQL Server security architecture
  • Managing users and logins
  • Securing data at rest and in transit
  • Implementing security best practices

 

Module 7 Stored Procedure

Explanation of Transact-SQL (T-SQL) and stored procedures Importance of using advanced techniques in T-SQL for creating efficient and effective stored procedures

 

II. Using Table Variables

  • Explanation of table variables and their benefits over temporary tables
  • Syntax for creating and using table variables in stored procedures
  • Examples of how to use table variables in stored procedures

 

III. Using the APPLY Operator

  • Explanation of the APPLY operator and its benefits for simplifying complex queries and improving performance
  • Syntax for using the CROSS APPLY and OUTER APPLY operators in stored Procedures
  • Examples of how to use the APPLY operator in stored procedures

 

IV. Using Window Functions

  • Explanation of window functions and their benefits for performing calculations on
     a set of rows defined by a window or partition
  • Syntax for using window functions such as ROW_NUMBER (), RANK (), and LEAD () in stored procedures
  • Examples of how to use window functions in stored procedures

 

Dynamic SQL

  • Explanation of dynamic SQL and its benefits for creating flexible and adaptable
    stored procedures
  • Syntax for using dynamic SQL in stored procedures
  • Examples of how to use dynamic SQL in stored procedures 

Module 8 Derived Table

  • Explanation of Transact-SQL (T-SQL) and derived tables
  • Importance of using advanced techniques in T-SQL for working with derived

tables

 

II. Using Derived Tables with SELECT

  • Explanation of how to use derived tables in the SELECT statement
  • Syntax for creating and using derived tables in the SELECT statement
  • Examples of how to use derived tables in the SELECT statement

 

III. Using Derived Tables with JOIN

  • Explanation of how to use derived tables in JOIN operations
  • Syntax for creating and using derived tables in JOIN operations
  • Examples of how to use derived tables in JOIN operations

 

IV. Using Common Table Expressions (CTEs)

  • Explanation of CTEs and their benefits for creating reusable subqueries
  • Syntax for creating and using CTEs with derived tables
  • Examples of how to use CTEs with derived tables

 

V. Using Derived Tables with Subqueries

  • Explanation of how to use derived tables with subqueries
  • Syntax for creating and using derived tables with subqueries
  • Examples of how to use derived tables with subqueries

 

Module 9 Cursors

Explanation of Transact-SQL (T-SQL) and cursors
Importance of using advanced techniques in T-SQL for working with cursors

II. Types of Cursors in SQL Server

  • Explanation of the different types of cursors available in SQL Server
  • Comparison of forward-only, static, keyset-driven, and dynamic cursors
  • Examples of when to use each type of cursor

 

III. Cursor Properties and Options

  • Explanation of cursor properties and options that can be used to customize cursor behavior
  • Syntax for setting cursor properties and options
  • Examples of how to use cursor properties and options


IV. Using Cursors in Stored Procedures

  • Explanation of how to use cursors in stored procedures
  • Syntax for declaring and using cursors in stored procedures
  • Examples of how to use cursors in stored procedures


V. Cursor Performance and Optimization

  • Explanation of how to optimize cursor performance in SQL Server
  • Best practices for cursor usage and optimization
  • Examples of how to optimize cursor performance

 

Inquire now

Best selling courses

We use cookies on our website to personalize your experience by storing your preferences and recognizing repeat visits. By clicking “Accept”, you agree to the use of all cookies. You can also select “Cookie Settings” to adjust your preferences and provide more specific consent. Cookie Policy