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SQL Server Developer Online Training

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Learners : 1080

Duration :  25 Days

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About Course

🌐 SQL Server Developer Online Training

SQL Server Developert is a core database skill that focuses on designing, developing, and maintaining Microsoft SQL Server Developer databases. This course equips learners with the knowledge and hands-on expertise to build efficient database solutions, write optimized queries, and implement business logic using SQL Server Developer and T-SQL. Professionals trained in SQL Server Developer are in high demand across industries such as finance, healthcare, and technology for data-driven application development and analytics.

Its Core Capabilities Include:

  • Database Design & Architecture: Learn to create and normalize database schemas, tables, relationships, and constraints.
  • SQL Server Developer  Query Development: Master writing SELECT, INSERT, UPDATE, DELETE, and complex join queries.
  • T-SQL Programming: Build stored procedures, triggers, user-defined functions, and views using Transact-SQL Server Developer
  • Performance Optimization: Analyze query plans, create indexes, and optimize database performance.
  • Data Security & Integrity: Implement authentication, authorization, roles, and encryption for secure databases.
  • Backup & Recovery: Learn database backup, restoration, and disaster recovery best practices.
  • SSMS & Automation: Work with SQL Server Developer Management Studio and automate repetitive tasks using SQL Server Developer Agent Jobs.

📍 Bonus: Certification Tracks

  • Microsoft Certified: SQL Server Developer Associate
  • Microsoft Certified: Azure Database Administrator Associate
  • Microsoft Certified: Data Analyst Associate
  • SQL Server Developer Professional (Viswa Online Trainings)

SQL Server Developer Training Course Syllabus

Introduction To DBMS
    • File Management System And Its Drawbacks
    • Database Management System (DBMS) and Data Models
    • Physical Data Models
    • Logical Data Models
    • Relational Data Model (RDBMS)
    • Object Relational Data Model (ORDBMS)
    • Entity – Relationship (E-R) Model
Introduction To SQL Server
  • Advantages and Drawbacks Of SQL Server Compared To Oracle And DB2
  • Connecting To Server
    • Server Type
    • Server Name
    • Authentication Modes
      • Sql Server Authentication Mode
      • Windows Authentication Mode
      • Login and Password
      • Sql Server Management Studio and Tools In Management Studio
TSQL (Transact Structured Query Language) Introduction To TSQL
  • History and Features of TSQL
  • Types Of TSQL Commands
  • Data Definition Language (DDL)
  • Data Manipulation Language (DML)
  • Data Query Language (DQL)
  • Data Control Language (DCL)
  • Transaction Control Language (TCL)
  • Database(Create,Alter,Drop)
  • Constrains
  • Procedural Integrity ConstraintsDeclarative Integrity Constraints
Joins
  • Inner Join
  • Self Join
  • Outer Join
  • Left Outer Join
  • Right Outer Join
  • Full Outer Join
  • Cross Join
Sub Queries
  • Single Row Sub Queries
  • Multi Row Sub Queries
  • Co-Related Sub Queries
Indexes
  • Clustered Index
  • NonClustered Index
  • Create , Alter and Drop Indexes
  • Using Indexes
Views
  • Purpose Of Views
  • Creating , Altering and Dropping Indexes
  • Simple and Complex Views
  • Encryption and Schema Binding Options in creating views
Transaction Management
  • Introduction
  • Begin Transaction
  • Commit Transaction
  • Rollback Transaction
  • Save Transaction
Cursors
  • Working With Cursors
  • Types Of Cursors
  • Static, Dynamic and Keyset Cursors
  • Local and Global Cursors
Data Manipulation Language(DML)
  • Insert
  • Identity
  • Creating A Table From Another Table
  • Inserting Rows From One Table To Another
  • Update
  • Delete
  • Truncate
  • Differences Between Delete and Truncate
Data Query Language (DQL)
  • Select
  • Where clause
  • Order By Clause
  • Distinct Keyword
  • Isnull() function
  • Column aliases
  • Between … And
  • In
  • Like
  • Is Null
Functions
  • Scalar Functions
  • Numeric Functions
  • Date Functions
  • Aggregate Functions
  • Group By and Having Clauses
  • Super Aggregates Over(partition by …) Clause
  • Ranking Functions
  • Common Table Expressions (CTE)
Stored Procedures
  • Creating , Altering and Dropping
  • Input and Output Parameters
  • User Defined Functions
  • Creating, Altering and Dropping
  • Types Of User Defined Functions
  • Table Valued Functions
  • Inline Table Valued Functions
  • Multi Statement Table Valued Functions
Triggers
  • Purpose of Triggers
  • Differences Between Stored Procedures and User Defined Functions and Triggers
  • Creating, Altering and Dropping Triggers
  • Exception Handling
  • Implementing Exception Handling
  • Adding and removing User Defined Error Messages To And From SQL Server Error Messages List
Security
  • Login Creation
  • SQL Server Authenticated Login
  • Windows Authenticated Login
  • User Creation
  • Granting Permissions
  • Revoking Permissions
SQL Server Developer Course Key Features
  • Live Instructor based training with software
  • Certification Oriented content
  • Hands-on complete Realtime training
  • Flexible schedule demo's & classes
  • Live recorded videos access
  • Study material provided
  • JOB Assistance

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SQL Server Developer Online Training FAQ'S

What is the difference between SQL and T-SQL?

  • SQL is the standard language for managing relational databases, while T-SQL (Transact-SQL) is Microsoft’s extension that adds procedural programming capabilities.

What are indexes, and why are they important?

  • Indexes speed up data retrieval by maintaining a sorted structure of table data. However, they can slow down write operations if overused.

What is a stored procedure?

  • A stored procedure is a precompiled collection of SQL statements stored in the database that can be executed as a single unit to improve performance and reusability.

How do you optimize a slow-running query?

  • Analyze execution plans, add appropriate indexes, use joins efficiently, and avoid unnecessary subqueries.

What is normalization?
  • Normalization is the process of structuring a database to reduce data redundancy and improve integrity by dividing data into related tables.

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