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What Is SQL Server?

SQL Server developed by Microsoft, is a powerful relational database management system (RDBMS) designed for efficient data storage, retrieval, and management. Utilizing the Structured Query Language (SQL), it caters to a wide range of applications, offering features like data security, scalability, and advanced analytics tools.
SQL Server stands out with its support for both on-premises and cloud deployments, ensuring flexibility. It prioritizes data integrity through ACID compliance, secures information through encryption, and integrates seamlessly with Microsoft’s business intelligence tools for insightful data analysis.
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Advantages Of SQL Server:

  • Security: SQL Server ensures data security through advanced features like encryption and access controls.
  • Scalability: It scales seamlessly to meet the evolving data needs of businesses, from small enterprises to large corporations.
  • Data Integrity: Adheres to ACID properties, guaranteeing reliable and consistent transaction processing.
  • SQL Server Versatility: Supports a wide range of applications, from transaction processing to business intelligence and analytics.
  • Integration: Seamlessly integrates with Microsoft’s tools like Power BI and Excel for efficient data analysis and reporting.
  • Deployment Options: Offers flexibility with both on-premises and cloud-based deployment options.
  • Performance Optimization: Designed for optimal performance with features like indexing and in-memory processing.
  • Disaster Recovery: Provides reliable backup and recovery mechanisms to ensure data availability.
  • They offer a variety of products that are designed to help companies transform their business into digital enterprises.

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Benefits Of Using SQL Server:

  • Keeps Data Safe
  • Grows with Your Business
  • Makes Information Faster
  • Works Well with Other Tools
  • Helps Make Smarter Decisions
  • Runs Smoothly
  • Follows Rules and Regulations
  • Adapts to the Cloud

Why SQL Server Training In Hyderabad With Vinay Tech House ?

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.

Course Highlights
Live Projects
Placement Assistance
Expert Trainers
Premium Training
Flexible Timings
Real-Time Case Studies

SQL Server Training in Hyderabad

Frequently Asked Questions

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.

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.

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Future Scope of a Career in   SQL Server
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In-Depth Curriculum

Our educational program aims to comprehensively cover all & important points & aspects of the subject

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Our Trainers are high experienced industry experts with their teaching methods designed for their particular course

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We’ve come a long way teaching from hundreds to thousands, so we use our experience in guiding students in the right path

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Curriculum
DATA, DATA STORAGES, DATABASEA AND SQL NITTY-GRITTIES

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

SQL SERVER DATABASE NITTY-GRITTIES

Enterprise Edition
Standard Edition
Developer Edition
Work Group Edition
Express Edition

Database
SSIS
SSRS
SSAS

SQL SERVER DATABASE INSTALLATION

Enterprise Edition
Standard Edition
Developer Edition
Work Group Edition
Express Edition

Object Explorer
Query Editor

Single instance
Multi instance

BASIC OPERATIONS WITH TOOL [SSMS]

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

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Projects Covered

Invoice OLTP Database

Designing the Database from End to End, ER-Model preparation & Data Loading

Sales OLAP Database

Moving Data from Source Database to Target Database by using Stored procedure
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