MS SQL SERVER DEVELOPER

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An MS SQL Server Developer is a professional who specializes in working with Microsoft SQL Server, a popular relational database management system (RDBMS). SQL Server is widely used in various industries for data storage, management, and retrieval. MS SQL Server Developers play a crucial role in the development and maintenance of SQL Server databases, ensuring data reliability, performance, and security for a wide range of applications and systems in the Microsoft ecosystem.

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Overview

The Syllabus

Curriculum Designed by Experts

1. Foundations of Querying

Understanding the Foundations of T-SQL

Understanding Logical Query Processing

2. Getting Started with the SELECT Statement

Using the FROM and SELECT Clauses

The FROM Clause

The SELECT Clause

Delimiting Identifiers

Working with Data Types and Built-in Functions

Choosing the Appropriate Data Type

Choosing a Data Type for Keys

Date and Time Functions

Character Functions

CASE Expression and Related Functions

3. Filtering and Sorting Data

Filtering Data with Predicates

Predicates, Three-Valued Logic, and Search Arguments

Combining Predicates

Filtering Character Data

Filtering Date and Time Data

Sorting Data

Understanding When Order Is Guaranteed

Using the ORDER BY Clause to Sort Data

Filtering Data with TOP and OFFSET-FETCH

Filtering Data with TOP

Filtering Data with OFFSET-FETCH

4. Combining Sets

Using Joins

Cross Joins

Inner Joins

Outer Joins

Multi-Join Queries

Using Subqueries, Table Expressions, and the APPLY

Operator

Subqueries

Table Expressions

APPLY

Using Set Operators

UNION and UNION ALL

INTERSECT

EXCEPT

5. Grouping and Windowing

Writing Grouped Queries

Working with a Single Grouping Set

Working with Multiple Grouping Sets

Pivoting and Unpivoting Data

Pivoting Data

Unpivoting Data

Using Window Functions

Window Aggregate Functions

Window Ranking Functions

Window Offset Functions

6. Creating Tables and Enforcing Data Integrity

Creating and Altering Tables

Introduction

Creating a Table

Altering a Table

Choosing Table Indexes

Enforcing Data Integrity

Using Constraints

Primary Key Constraints

Unique Constraints

Foreign Key Constraints

Check Constraints

Default Constraints

7. Designing and Creating Views, Inline Functions and Synonyms

Designing and Implementing Views and Inline Functions

Views

Inline Functions

Using Synonyms

Creating a Synonym

Comparing Synonyms with Other Database Objects

8. Inserting, Updating, and Deleting Data

Inserting Data

INSERT VALUES

INSERT SELECT

INSERT EXEC

SELECT INTO

Updating Data

UPDATE Statement

UPDATE Based on Join

Nondeterministic UPDATE

UPDATE and Table Expressions

UPDATE Based on a Variable

UPDATE All-at-Once

Deleting Data

Sample Data

DELETE Statement

TRUNCATE Statement

DELETE Based on a Join

DELETE Using Table Expressions

9. Other Data Modification Aspects

Using the Sequence Object and IDENTITY Column Property

Using the IDENTITY Column Property

Using the Sequence Object

Merging Data

Using the MERGE Statement

Using the OUTPUT Option

Working with the OUTPUT Clause

INSERT with OUTPUT

DELETE with OUTPUT

UPDATE with OUTPUT

MERGE with OUTPUT

Composable DML

10. Designing and Implementing T-SQL Routines

Designing and Implementing Stored Procedures

Understanding Stored Procedures

Executing Stored Procedures

Branching Logic

Developing Stored Procedures

Implementing Triggers

DML Triggers

AFTER Triggers

INSTEAD OF Triggers

DML Trigger Functions

Implementing User-Defined Functions

Understanding User-Defined Functions

Scalar UDFs

Table-Valued UDFs

Limitations on UDFs

UDF Options

UDF Performance Considerations

11. Implementing Transactions, Error Handling and Dynamic SQL

Managing Transactions and Concurrency

Understanding Transactions

Types of Transactions

Basic Locking

Transaction Isolation Levels

Implementing Error Handling

Detecting and Raising Errors

Handling Errors After Detection

Using Dynamic SQL

Dynamic SQL Overview

SQL Injection

Using sp executesql

12. Implementing Indexes and Statistics

Implementing Indexes

Heaps and Balanced Trees

Implementing Non-clustered Indexes

Implementing Indexed Views

Using Search Arguments

Supporting Queries with Indexes

Search Arguments

Understanding Statistics

Auto-Created Statistics

Manually Maintaining Statistics

13. Understanding Cursors, Sets, and Temporary Tables

Evaluating the Use of Cursor/Iterative Solutions vs. Set-Based Solutions

The Meaning of “Set-Based”

Iterations for Operations That Must Be Done Per Row

Cursor vs. Set-Based Solutions for Data Manipulation Tasks

Using Temporary Tables vs. Table Variables

Scope

DDL and Indexes

Physical Representation in tempdb

Transactions

Statistics

14. Querying and Managing XML Data

Returning Results As XML with FOR XML

Introduction to XML

Producing XML from Relational Data

Shredding XML to Tables

Querying XML Data with XQuery

XQuery Basics

Navigation

FLWOR Expressions

Using the XML Data Type

When to Use the XML Data Type

XML Data Type Methods

Using the XML Data Type for Dynamic Schema

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