Home / DW Courses / SQL Server
Classroom | Online | Fast Track | Self Paced
A comprehensive training resource that includes real-time training scenarios for every area of study using the SQL Server Training solutions.
* We also provide cases studies to support SQL Server training.
* We plan sessions according to your preferences by highly skilled and trained experts in real-time.
* We record a session to be used for reference in the future.
* We also offer an ongoing, quick and weekend-long course to provide the online Informatica Training.
* We also offer lucrative and flexible payment plans that are flexible and profitable.
Microsoft SQL Server is a robust and scalable relational database management system (RDBMS) widely used across industries for storing, managing, and retrieving structured data efficiently. SQL Server offers a comprehensive platform for building, deploying, and maintaining mission-critical applications, making it an essential tool in the world of data management.
To equip you with the skills to leverage SQL Server’s capabilities effectively, Vinay Tech Institute offers comprehensive SQL Server course training, Online & Offline. The programs covers everything from database fundamentals to performance tuning. By enrolling in our SQL Server training, you’ll gain experience and industry-relevant knowledge, positioning yourself as a valuable asset in the field of data-driven decision-making.
Toggle Content
The primary purpose of Microsoft SQL Server is to provide a robust and scalable relational database management system (RDBMS) that enables organizations to store, manage, and retrieve data efficiently. SQL Server serves as a centralized repository for structured data, offering a comprehensive set of tools and features to support various data management tasks and applications.
The primary purpose of Microsoft SQL Server is to provide a robust and scalable relational database management system (RDBMS) that enables organizations to store, manage, and retrieve data efficiently. SQL Server serves as a centralized repository for structured data, offering a comprehensive set of tools and features to support various data management tasks and applications.
SQL Server training opens doors to a thrilling IT career path. If you’re passionate about data management, aspire to build robust applications, or prioritize information security, this training arms you with the essential skills to embark on a rewarding journey in the ever-evolving IT landscape.
Our educational program aims to comprehensively cover all & important points & aspects of the subject
Our Trainers are high experienced industry experts with their teaching methods designed for their particular course
We’ve come a long way teaching from hundreds to thousands, so we use our experience in guiding students in the right path
Vinay Tech House is prefered by many students as their favourite, rating as the best in teaching
What is Data and Data Formats
Data Storages
Structure Data Presence in Database
On Premises and Cloud Data Storages
Database Providers and Products
Sql Use in different Platforms
Frontend Applications
Business Intelligence
Data Engineering
Data Science
Enterprise Edition
Standard Edition
Developer Edition
Work Group Edition
Express Edition
Database
SSIS
SSRS
SSAS
Enterprise Edition
Standard Edition
Developer Edition
Work Group Edition
Express Edition
Object Explorer
Query Editor
Single instance
Multi instance
Masterdb
Msdb
Modeldb
Tempdb
Enterprise Edition
Standard Edition
Developer Edition
Work Group Edition
Express Edition
Create User Tables
insert Data
Update Data
Delete Data
Data Loading into Tables
Single Row, Multi Row and Required Column Insert into Tables
Modify Table Date
Remove Data from Tables
Difference Between Truncate, Delete and Drop
Bulk Insert
Merge Command Operations
Insert Table Data from Another Table
Data Loading into Tables
Single Row, Multi Row and Required Column Insert into Tables
Modify Table Date
Remove Data from Tables
Difference Between Truncate, Delete and Drop
Bulk Insert
Merge Command Operations
Insert Table Data from Another Table
Providing privileges [GRANT]
Removing privileges [REVOKE AND DENY]
Implicit and Explicit Grants
Providing privileges [GRANT]
Removing privileges [REVOKE AND DENY]
Implicit and Explicit Grants
Working with Select Statement
Clauses
• From
• Where
• Group By
• Having
• Order By
Single Value Match Operators
• Artha Matic Operators
+, -, *, %, /
• Comparison Operators
<, >, <=, >=, =, <>, !=
• Logical Operators
AND, OR, NOT
Multi Value Match Operators
• In, Not In
• Between, Not Between
• Like, Not Like
• Exists, Not Exists
• Is Null, Is Not Null
Working With TOP
Set Theory Generic Protocols
Intersect
Union
Union All
Except
Working On Incremental Loading
Simple Sub Query
Correlated Sub Query
Nested Sub Query
Difference Between Simple and Correlated Sub Query
Joins In Realtime Usage
Cross Join and Cross Apply
Inner Join [Equi, Non Equi]
Natural Join
Self-Join
Left Outer Join
Right Outer Join
Full Outer Join
Anti Left Outer Join
Anti Right Outer Join
Working on ON and WHERE Clauses
Merge Join
Loop Join
Hash Join
Domain Integrity
Not Null
Default
Check
Entity Integrity
Primary Key and Limitations
Unique and Limitations
Referential Integrity
Foreign Key
Kyes
Composite Key
Candidate Key
Alternate Key
Super Key
Artificial Key
Normal Column and Identity Column
Cascading
On Delete Cascade
On Update Cascade
ON Delete Set NULL
On Update Set NULL
On Delete Set No Action
What is Normalization
Types Of Normalization
1: 1, 1: Many, Many to Many Relations
Business, Conceptual, Logical, Physical Data Model
Dimension, Fact Tables
Dimension Model Schemas [ Star, Snowflake, Galaxy]
Entity Relational Model [OLTP]
Dimension Model [OLAP]
Clustered Index Design and Structure
Non-Clustered Index Design and Structure
Unique Index Design
Index with Included Columns
Column Storage Index
Full-Text Index Population
Filtered Index Design
Covering Index Design
B-Tree and Online Indexes
Index View Vs Materialized Views
Fill Factor, TEMPDB, Pat Index
What Is Schema and Realtime advantages with practical
System Defined Procedures Usage with Example
Sp_Help, Sp_HelpText, Sp_Rename, Sp_Tables, Sp_Who2, Sp_Who
Sp_Spaceused, Sp_Statistics, Sp_ForeignKeys
System Defined Views Usage with Example
Sys.Servers, Sys.Database, Sys.Objects, Sys.Schemas, Sys.View, Sys.Indexes
Information_Schema.Tables, Information_Schema.Columns
Difference Between Group by and Distinct, Performance Impact
Group By and Having Usages to Identify and Eliminate Duplicates
Rollup And Cube
Creating Full Totals and Sub totals
Comparing Rollup, Cube and Group Functions
Advantages and Limitations of Views
Tables Vs Views
Simple Views [Modifiable View]
Complex Views [Read Only View]
Materialized Views
Encypted Views, Schema Binding Views
Advantages and Limitations of Functions
System Defined Functions
• String Functions
ASCII LEN RTRIM
CHAR LOWER SPACE
CHARINDEX LTRIM STR
CONCAT NCHAR STUFF
CONCATE WITH + PATINDEX SUBSTRING
DATALENGTH REPLACE UPPER
LEFT RIGHT
• Aggregate Functions
AVG BINARY_CHECKSUM CHECKSUM
CHECKSUM_AGG COUNT COUNT_BIG
GROUPING GROUPING_ID MAX
MIN STDEV STDEVP
SUM VAR VARP
• Configuration Functions
DATEFIRST DBTS LANGID
LANGUAGE LOCK_TIMEOUT MAX_CONNECTIONS
MAX_PRECISION NESTLEVEL OPTIONS
REMSERVER SERVERNAME SERVICE NAME
SPID TEXTSIZE VERSION
• Cursor Functions
CURSOR_STATUS CURSOR_ROW FETCH_STATUS
• Date and Time Functions
CURENT_TIME STAMP DATEADD DATEDIFF
DATENAME DATEPART DAY
GATDATE GATUTCDATE ISDATE
MONTH SYSDATETIME SYSDATETIMEOFFSET
SYSUTCDATETIME SWITCHOFFSET TODATETIMEOFFSET
YEAR
• Mathematical Functions
ABS ACOS ASIN
ATAN ATN2 CEILING
COS COT DEGRESS
EXP FLOOR LOG
LOG10 PI POWER
RADIANS RAND ROUND
SIGN SIN SQRT
SQUARE TAN
• Other Functions
APPNAME CAST COALESCE
CONVERT CURENT_USER DATALENGTH
GETANSINULL HOST_ID HOST_NAME
IDENT_CURRENT IDENT_INCR IDENT_SEED
IDENTITY ISNULL ISNUMARIC
NEWID NULLIF PARSENAME
PERMISSIONS ROWCOUNT ROWCOUNT_BIG
SCOPE_IDENTITY SESSION_USER STATEM_USER
TRANCOUNT USER_NAME
System Defined Window Functions
• Intro to window functions
• Basic windowing syntax
• The usual suspects: SUM, COUNT, and AVG
• ROW_NUMBER ()
• RANK () and DENSE_RANK ()
• NTILE
• LAG and LEAD
• Defining a window alias
User Defined Functions
• Scalar-valued Functions
• Table-valued Functions
Difference Between Functions and Procedures
Variable Declarations and Assignments
Basic syntax
Conditional Statements
Multi Branching Conditional Statements
Iterative Statements
Exception/ Error Handling
Use in Real Time and Types
System Defined and User Defined Procedures
Dynamic Sql Quires in Procedures
In, Out, InOut Parameters
Dynamic Data Insertion with Procedures
Using TEMP Tables in Procedures
Stored Procedure inside Stored Procedure
Use in Real Time and Types
System Defined and User Defined Procedures
Dynamic Sql Quires in Procedures
In, Out, InOut Parameters
Dynamic Data Insertion with Procedures
Using TEMP Tables in Procedures
Stored Procedure inside Stored Procedure
Local Variables Vs Global Variables with Example
Table Valued Variables
Temporary Table Usage in Real Time
Inline Views Vs Normal Views
Common Table Expressions
CTE usage in Real Time
Multiple Examples using CTE
Duplicate Finding and Removing
Non-Recursive and Recursive CTE
Use in Real Time
Triggers Vs Procedures
Types Of Triggers
DML Triggers
DDL Triggers
FOR Triggers
INSTEAD Of Triggers
What is Cursor.
Cursor Life Cycle
Working Process of Cursor.
Creating Dynamic SELECT Statements.
Passing Dynamic Table Names
Create a Procedure with Dynamic Table Names and Varables
Normal SQL Vs. Dynamic SQL
Project Explanation
Day to Day Activities
Real Time Database Environment
Challenges
Performance Tuning
Vinay Tech’s course completion certificate will be provided upon the completion of the course successfully. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNCs. The certificate can be printed out like a hard copy or handed digitally