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Some argue that “..relational databases are out of date and do not match current trends..”, while others contend that “..SQL cannot handle big data..”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.

TRAINING – SQL SERVER

Overview / Introduction
Client Server & Multi-Tier Architectures in Databases
DBMS & Data Models
RDBMS
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
JOINS
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