Microsoft Transact-SQL Programming

Duration: 5 Days (Face-to-Face or Remote-Live), or 35 hours of coursework with personal facilitation over a four week span (On-Demand)

US Price: $2495 (Face-to-Face or Remote-Live), or $895 (On-Demand)

Delivery Options: Attend face-to-face in the classroom, remote-live or via on-demand training

Registration: Click here to view upcoming schedules and register for face-to-face sessions, click here to register for live remote attendance sessions, or click here to register for on-demand training with a start date that is convenient for you.

View the course schedule

Description

This Transact-SQL programming course teaches students relational database fundamentals and SQL programming skills in the Microsoft SQL Server environment. Topics covered include relational database architecture, database design techniques, and simple and complex query skills. The course also covers Microsoft-specific T-SQL programming constructs, creation and use of stored procedures and user-defined functions, use of cursors and updateable views.

This class is intended for analysts, developers, designers, administrators, and managers who need to exploit the power of the T-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 views as well as complex queries and updates. Comprehensive hands on exercises are integrated throughout to reinforce learning and develop real competency.

Prerequisites

General computer knowledge.

Course Overview

Relational Database Fundamentals Overview of Relational Database Concepts Relational Databases and Relational Database Management Systems Data Normalization DDL Syntax	Writing Basic SQL Queries Displaying Table Structures Retrieving Column Data From a Table or View Selecting Unique Values Filtering Rows Using the WHERE Clause Sorting Results Using ORDER BY Joining Multiple Tables Using Column and Table Aliases
Creating a Database 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 Dropping Tables, Indexes, Constraints and Views Modifying Tables, Indexes, Constraints and Views	Manipulating Query Results Using Row Functions Character Numeric Date and Time Data Conversion (CAST and CONVERT) Using the CASE Function Handling Null Values
Advanced Query Techniques Inner Joins Outer Joins (Left, Right, Full) Performing Self-Joins Subqueries Simple Correlated Using the EXISTS Operator Tips for Developing Complex SQL Queries Using Aggregate Functions AVG COUNT SUM MIN MAX Performing Set Operations UNION INTERSECT EXCEPT/MINUS Aggregating Results Using GROUP BY Restricting Groups with the HAVING Clause Creating Temporary Tables	Manipulating Table Data Using SQL's Data Manipulation Language (DML) Inserting Data into Tables Updating Existing Data Deleting Records Truncating Tables Performing Bulk Inserts Using the OUTPUT Clause Merging Data Working with Identity Columns and Sequences
User-Defined Functions 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	Stored Procedures Definition and Benefits of Use CREATE PROCEDURE Syntax Defining Input Parameters Defining Output Parameters Defining Optional Parameters ALTER and DROP PROCEDURE Implementation Differences
Triggers 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 ALTER and DROP TRIGGER	Complex Queries Using Wildcard Characters with Like Allowing Users to Build SQL Queries Dynamically Pivoting Data Summarizing Data with ROLLUP and CUBE Using Partitioned Aggregates
T-SQL Code Constructs Exploiting the Programming Features of T-SQL Conditional Constructs Looping Constructs Building Multi-Batch Scripts Invoking System Functions Using Variables in Scripts Using Temporary Tables in Scripts Handling Errors Using TRY...CATCH Blocks Using System Variables and Functions	Working with Data Types and Functions Effective Use of Data Types in SQL String Numeric Time/Date Other Substitution of Non-null Values with the COALESCE and ISNULL Functions Analyzing Data Points Using Ranking Functions
Using T-SQL Cursors Overview of Cursors Declaring a Cursor Using OPEN CURSOR, CLOSE CURSOR, DEALLOCATE CURSOR Statements FETCHing Results Testing @@FETCH_STATUS and @@CURSOR_ROWS Updating Records with Cursors	Working with Table Expressions Overview of Table Expressions Working with Views Using Derived Tables Common Table Expressions Table-Valued Functions

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