Microsoft Transact-SQL Programming (Canada)
Hands-On Technology Transfer

Delivery Method

Seminar

Target Audience
Computer Industry Professionals

Summary
This Transact-SQL programming course teaches students relational database fundamentals and SQL programming skills in the Microsoft environment

Description/Agenda

This Transact-SQL programming course teaches students relational database fundamentals and SQL programming skills in the Microsoft environment. Topics covered include relational database architecture, database design techniques, and simple and complex query skills. The course covers T-SQL programming constructs, predefined data types including XML, deployment of stored procedures and triggers, CLR integration, use of the Service Broker, use of Views, and transaction locking.

This class is intended for analysts, developers, designers, administrators, and managers new to the SQL programming language. Upon completion, participants will understand SQL functions, join techniques, database objects and constraints, and will be able to write useful stored procedures and triggers as well as complex queries and updates. Extensive hands on exercises are used throughout to reinforce learning and develop real competency.

Prerequisites

General computer knowledge. Familiarity with relational database concepts is helpful but not required.

• Overview of Relational Database Concepts
• Relational Databases and Relational Database Management Systems
• SQL, DML and DDL Languages

• Using Row Functions
  • Character
  • Numeric
  • Date and Time
  • Data Conversion
• Using Column Functions
• Handling NULLs
• Aggregating Results using GROUP BY
• Restricting Groups with the HAVING Clause

• Displaying Table Structures
• Column Datatypes
• SELECTing Column Data FROM a Table
• SELECT DISTINCT Values
• COUNTing Rows
• Restricting Rows using the WHERE Clause
  • Using Operators
  • Mathematical
  • Logical
  • Comparison
  • Concatenation
  • Set Operators
• Sorting Results Using ORDER BY
• Joining Multiple Tables
• Using Column and Table Aliases
• Pseudo Columns

• Outer Joins
• Joining a Table to Itself
• Subqueries
• Hierarchical Queries
• Using the Data Dictionary
• Tips for Developing Complex SQL Queries

• INSERT into Tables
• UPDATE Table Data
• DELETE from Tables
• TRUNCATE Tables
• Controlling Transactions
  • COMMIT
  • ROLLBACK
  • SAVEPOINT

• Database Development Methodology Overview
• Building a Logical Data Model
  • Identifying Entities and Attributes
  • Isolating Keys
  • Relationships between Entities
  • Creating Entity-Relationship Diagrams
• Transforming to Physical Design
  • Migrating Entities to Tables
  • Selecting Primary Keys
  • Defining Columns
  • Enforcing Relationships with Foreign Keys
• Constructing the Database using DDL
  • Creating Tables, Indexes, Constraints and Views
  • Using Table and Column COMMENTs
  • Using SYNONYMs
• Facilitating Development Using CASE Tools

• Dropping Tables, Indexes and Views
• ALTERing Tables, Indexes and Views
• Enabling and Disabling Constraints
• Managing Security

• Writing Efficient SQL
• EXPLAIN Query Analysis
• Indexing for Performance
• Index-Organized Tables
• Clustering

• Definition and Benefits of Use
• Perils and Pitfalls
• CREATE PROCEDURE
  • Syntax
  • Variables and Parameters
  • Code Examples
• Temporary Tables
• Control of Program Flow
• ALTER and DROP PROCEDURE
• Implementation Differences

• Definition and Benefits of Use
• CREATE FUNCTION
  • Syntax
  • RETURN Clause and the RETURNS Statement
  • Scalar vs. Table Functions
• Comparison with Stored Procedures
• Returning Scalar Values and Tables
• ALTER and DROP FUNCTION

• Definition and Benefits of Use
• Alternatives (e.g., Constraints)
• CREATE TRIGGER
  • Syntax
  • Trigger Types
• "Inserted" (or "NEW") and "Deleted" (or "OLD") Tables
• Event Handling and Trigger Execution
• Nested and Recursive Triggers
• ALTER and DROP TRIGGER

• Improving SQL Queries with Common Table Expressions (CTE’s)
• Building User Reports with Multi-Table Joins
• Writing English-Like Queries
• Allowing Users to Build SQL Queries Dynamically
• Extracting Data for Business Intelligence(BI) Systems

• Exploiting the Programming Features of T-SQL
  • Conditional Constructs
  • Looping Constructs
• Building Multi-batch Scripts
• Invoking System Functions
• Declaring Variables Inside Scripts
• Using Variables in Scripts
• Using Temporary Tables in Scripts
• Correctly Handling Errors
  • Error Handling
  • Debugging
  • Code Blocks
  • Predefined System Variables
• Using the SQLCMD Utility

• Effective use of Data Types in SQL
  • String
  • Numeric
  • Time/Date
  • Other
• How to Convert Data
• Converting Expressions Using the CAST Function
• Controlling Formatting with the CONVERT Function
• Creating Conditional Tests with the CASE Function
• Substitution of Non-null Values with the COALESCE Function
• Replacing Nulls with the ISNULL Function
• Analyzing Data Points Using Ranking Functions

• Effective use of Transactions
• Using Isolation Level
• Implementing Data Integrity with Transactions
  • COMMIT
  • ROLLBACK
  • SAVEPOINT
• Maximizing Concurrency with Correct use of Locking
  • Read Locks
  • Write Locks
  • Shared Locks
• Increasing throughput by Choosing Appropriate Transaction Isolation
• Preventing Deadlocks

• Designing a Stored Procedure
  • Input Parameters
  • Output Parameters
  • Default values
• Implementing Exception Handling
• Adding Fault Tolerant Transaction Logic
• Designing Functions
• Building Triggers
  • DDL Triggers
  • INSTEAD OF Triggers
  • AFTER Triggers

• Designing Views
• Updating through a Vi

All Date/Location Information