Microsoft SQL Certification Course Training


Edutech Skills SQL accreditation instructional class is a web based preparing implied for designers to dominate the engaging language utilized for social data sets. Significant subjects remembered for this SQL online course are social data sets, inquiries, sub questions, joins, and associations. Subsequent to finishing this course, you will likewise be capable in streamlining, exchanges, ordering, introducing SQL Server, information base organization, grouping, executing program capacity items, planning and carrying out data set articles, overseeing data set simultaneousness, and improving framework and data set articles.


What will you learn in this SQL online course?

  1. SQL architecture, client/server relation, and database types
  2. Deploying several functions, operators, etc. for designing relational databases
  3. Modifying data using T-SQL, views, and stored procedures
  4. The concept of triggers and their creation
  5. Using records for searching, sorting, indexing, and grouping
  6. Database administrators, types, and SQL Server tools and services
  7. Backup and restoration of databases
  8. Optimizing database objects, managing database concurrency, and ensuring data integrity

Who should take up this SQL certification course?

  • Software Developers and IT Professionals
  • SQL and Database Administrators
  • Project Managers
  • Business Analysts and Managers
  • Business Intelligence Professionals
  • Big Data and Hadoop Professionals
  • Those aspiring for a career in SQL development• Software Developers and IT Professionals
  • SQL and Database Administrators
  • Project Managers
  • Business Analysts and Managers
  • Business Intelligence Professional
  • Big Data and Hadoop Professionals
  • Those aspiring for a career in SQL development

What are the prerequisites for taking up this SQL Server online training course?

There are no specific prerequisites for enrolling in this SQL course. A basic knowledge of relational DBMS can help you know all about MS SQL Server.

Why should you take up this SQL Server certification training course by Microsoft?

  • Most companies estimate that they’re analyzing a mere 12% of the data they have – Forrester Research
  • Worldwide Business Intelligence and analytics market to grow US$22.8 billion in 2 years – Gartner
  • A SQL Developer in the United States can earn US$92,000 per year – Indeed

This is one of the most important programming languages for working on large databases. This creates a huge demand for SQL Developers who can parse all that Big Data and convert them into business insights.

Module 1 – Introduction to SQL

1.1 Various types of databases
1.2 Introduction to Structured Query Language
1.3 Distinction between client server and file server databases
1.4 Understanding SQL Server Management Studio
1.5 SQL Table basics
1.6 Data types and functions
1.7 Transaction-SQL
1.8 Authentication for Windows
1.9 Data control language
1.10 The identification of the keywords in T-SQL, such as Drop Table

Module 2 – Database Normalization and Entity Relationship Model

2.1 Entity-Relationship Model
2.2 Entity and Entity Set
2.3 Attributes and types of Attributes
2.4 Entity Sets
2.5 Relationship Sets
2.6 Degree of Relationship
2.7 Mapping Cardinalities, One-to-One, One-to-Many, Many-to-one, Many-to-many
2.8 Symbols used in E-R Notation

Module 3 – SQL Operators

3.1 Introduction to relational databases
3.2 Fundamental concepts of relational rows, tables, and columns
3.3 Several operators (such as logical and relational), constraints, domains, indexes, stored procedures, primary and foreign keys
3.4 Understanding group functions
3.5 The unique key

Module 4 – Working with SQL: Join, Tables, and Variables

4.1 Advanced concepts of SQL tables
4.2 SQL functions
4.3 Operators & queries
4.4 Table creation
4.5 Data retrieval from tables
4.6 Combining rows from tables using inner, outer, cross, and self joins
4.7 Deploying operators such as ‘intersect,’ ‘except,’ ‘union,’
4.8 Temporary table creation
4.9 Set operator rules
4.10 Table variables

Module 5 – Deep Dive into SQL Functions

5.1 Understanding SQL functions – what do they do?
5.2 Scalar functions
5.3 Aggregate functions
5.4 Functions that can be used on different datasets, such as numbers, characters, strings, and dates
5.5 Inline SQL functions
5.6 General functions
5.7 Duplicate functions

Module 6 – Working with Subqueries

6.1 Understanding SQL subqueries, their rules
6.2 Statements and operators with which subqueries can be used
6.3 Using the set clause to modify subqueries
6.4 Understanding different types of subqueries, such as where, select, insert, update, delete, etc.
6.5 Methods to create and view subqueries

Module 7 – SQL Views, Functions, and Stored Procedures

7.1 Learning SQL views
7.2 Methods of creating, using, altering, renaming, dropping, and modifying views
7.3 Understanding stored procedures and their key benefits
7.4 Working with stored procedures
7.5 Studying user-defined functions
7.6 Error handling

Module 8 – Deep Dive into User-defined Functions

8.1 User-defined functions
8.2 Types of UDFs, such as scalar
8.3 Inline table value
8.4 Multi-statement table
8.5 Stored procedures and when to deploy them
8.6 What is rank function?
8.7 Triggers, and when to execute triggers?

Module 9 – SQL Optimization and Performance

9.1 SQL Server Management Studio
9.2 Using pivot in MS Excel and MS SQL Server
9.3 Differentiating between Char, Varchar, and NVarchar
9.4 XL path, indexes and their creation
9.5 Records grouping, advantages, searching, sorting, modifying data
9.6 Clustered indexes creation
9.7 Use of indexes to cover queries
9.8 Common table expressions
9.9 Index guidelines

Module 10 – Advanced Topics

10.1 Correlated Subquery, Grouping Sets, Rollup, Cube

Hands-on Exercise

  1. Implementing Correlated Subqueries
  2. Using EXISTS with a Correlated subquery
  3. Using Union Query
  4. Using Grouping Set Query
  5. Using Rollup
  6. Using CUBE to generate four grouping sets
  7. Perform a partial CUBE

Module 11 – Managing Database Concurrency

11.1 Applying transactions
11.2 Using the transaction behavior to identify DML statements
11.3 Learning about implicit and explicit transactions
11.4 Isolation levels management
11.5 Understanding concurrency and locking behavior
11.6 Using memory-optimized tables

Module 12 – Programming Databases Using Transact-SQL

12.1 Creating Transact-SQL queries
12.2 Querying multiple tables using joins
12.3 Implementing functions and aggregating data
12.4 Modifying data
12.5 Determining the results of DDL statements on supplied tables and data
12.6 Constructing DML statements using the output statement
12.7 Querying data using subqueries and APPLY
12.8 Querying data using table expressions
12.9 Grouping and pivoting data using queries
12.10 Querying temporal data and non-relational data
12.11 Constructing recursive table expressions to meet business requirements
12.12 Using windowing functions to group
12.13 Rank the results of a query
12.14 Creating database programmability objects by using T-SQL
12.15 Implementing error handling and transactions
12.16 Implementing transaction control in conjunction with error handling in stored procedures
12.17 Implementing data types and NULL
12.18 Designing and implementing relational database schema
12.19 Designing and implementing indexes
12.20 Learning to compare between indexed and included columns
12.21 Implementing clustered index
12.22 Designing and deploying views
12.23 Column store views

12.24 Explaining foreign key constraints
12.25 Using T-SQL statements
12.26 Usage of Data Manipulation Language (DML)

Module 13 – Microsoft Courses: Study Material

13.1 Performance Tuning and Optimizing SQL Databases
13.2Querying Data with Transact-SQL