SQL Server Training

Some argue that “..relational databases are out of date and do not match current trends..”, while others contend that “..SQL cannot handle big data..” and “..SQL cannot handle unstructured data..”. There is no legitimate reasoning in it, and comparing new technology to SQL solutions is absolutely improper.

To be clear, a relational database management system (RDBMS) is a database management system based on the relational model. A relational model is a set of guidelines for storing, accessing and managing data. It is a notion rather than a product. SQL, on the other hand, is a language designed to work with relational databases. Those who allude to SQL’s limitations in the manner described above are actually referring to SQL products. There are numerous SQL products in the market, and the bulk of them have ruled the world for decades and will almost definitely continue to do so in the future.

The demand for SQL-skilled workers is growing. For a wide range of positions, many businesses are employing SQL professionals. The challenges and benefits offered by each of these occupations vary.

There are many job openings in domains related to SQL as a result of its extensive use.

This SQL course is intended to be practical and includes several examples, sample datasets, assignments, and sample projects to thoroughly illustrate each topic. Beginners can benefit from it, as well as developers who want to advance their knowledge.


  • Overview / Introduction
  • Client Server & Multi-Tier Architectures in Databases
  • DBMS & Data Models
  • SQL
  • RDBMS vs SQL vs SQL Products
  • Normalization
  • Denormalization
  • MS SQL Server:
    • Instances
    • Services
    • Installation
    • Configuration
  • Instance
    • Instances
    • On-premises Instance Types
    • AWS Instances Types
  • Installation of Microsoft SQL Server
  • Configuring SQL Server
  • SQL Server Instances Services
  • Connecting through CLI
  • Connecting through GUI
  • Microsoft SQL Server Versions, Identifiers & Editions
    • Versions
    • Identifiers
    • Editions
  • Exploring SQL & SQL Server Objects
  • SSMS – Object Explorer – Objects
  • System Databases in SQL
  • Working with SQL Sub Languages
    • Data Definition Language
    • Data Manipulation Language
    • Data Query Language
    • Data Control Language
    • Transact Control Language
  • Querying MS SQL Server
    • Filtering, Sorting, and Grouping the data
    • Regularly Used Expressions
  • Aliases
  • Computed Columns (Physical & Logical)
  • Naming Conventions
  • Sub-Queries
  • Correlated Sub Queries
  • Working with XML
  • Conditional Statements
  • Integrity Constraints 
  • Built-in Functions:
    • Aggregate Functions
    • Analytical Functions:
    • Configuration Functions:
    • Conversion Functions:
    • Data Type Functions:
    • Date Time Functions:
    • JSON Functions:
    • Mathematical Functions:
    • Logical Functions:
    • Ranking Functions:
    • Security Functions:
    • String Functions:
    • System Functions:
    • Window Functions:
  • Performance Tuning
    • Indexing & Types
    • Performance Tuning Best Practices
  • Views
  • Synonyms
  • Sequences


  • Temporary Tables
  • Table Variables
  • Common Table Expressions
  • Dynamic SQL
  • Isolation & Isolation Levels
  • Phantom Reads
  • Dirty Reads
  • Stored Procedures
  • Error Handling & Try/Catch
  • User-Defined Functions
  • Triggers
  • Cursors


  • Users & Logins
  • Database Backup & Restore
  • Import & Export Data
  • SQL Server Agent


  • Development & Advanced Features
  • Assignments & Lab Practice Case Sheets

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