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+91 9963235647, +1-973 551 5019
+91 9963235647, +1-973 551 5019
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Sql Certification Training and Job Support from India

Sql Online Training
  • 30-40 hours
  • 45 Students
    • Ratings :

SQL Online Training

SQL is an abbreviation for Structured Query Language. SQL is a standard programming language used to manage relational databases and perform operations such as adding, modifying, updating, and retrieving data. SQL is used to design databases, specify their structures, implement them, and execute other database activities. SQL is also used to access, maintain, and manipulate pre-existing databases. SQL is widely used as a Client/Server language to connect the front and back ends, hence enabling the client/server architecture.SQL, when used as a Data Control Language (DCL), aids in the protection of your database against unauthorised access. SQL is a strong programming language despite its simplicity.

SQL Training by RAM training covers both fundamental and intermediate SQL principles. Our SQL online training course is suitable for both beginners and experienced users. You will study everything from fundamental to complex SQL topics such as SQL queries, SQL joins, SQL injection, SQL inserts, and creating tables in SQL. SQL is simple to learn, and there are no prerequisites. SQL has several features that make it popular in the field of data science. It is an ideal query language for data professionals and users to interface with databases. The curriculum is built in accordance with current industry standards, and it includes topics such as functions, operators, stored procedures, record use for searching and sorting, database management, and so on. RAM training is appropriate for both new and seasoned professionals. You only need to be interested in studying database administration to get started. Our experts would help you get the right guidance from RAM training.

SQL does not need a huge amount of coding lines in order to manage database systems. Using basic SQL syntactical rules, we can quickly access and maintain the database. These basic rules make SQL easier to use. Learn SQL from RAM Trainings as we give you the best SQL training, handpicked by the industry's best educators. The online course is presented in such a way that even a novice can quickly understand and apply the topics. Our Kolkata training centre also gives industry exposure to help you become a certified SQL specialist. Once completed, share your certificate on LinkedIn with prospective employers and your professional network. SQL is the world's second most used database management system (DBMS). You may also make an average annual salary of $101,293 as a SQL Developer. We are one of the top SQL training courses provider in Hyderabad providing the certification course for all learners.

SQL Course Curriculum

  • 1. Introduction To DBMS
    • 1.1 File Management System And Its Drawbacks
    • 1.2 Database Management System (DBMS) and Data Models
    • 1.3 Physical Data Models
    • 1.4 Logical Data Models
    • 1.5 Hierarchical Data Model (HDBMS)
    • 1.6 Network Data Model (NDBMS)
    • 1.7 Relational Data Model (RDBMS)
    • 1.8 Object Data Model (ODBMS)
    • 1.9 Object Relational Data Model (ORDBMS)
    • 1.10 Conceptual Data Models
    • 1.11 Entity – Relationship (E-R) Model
  • 2. Introduction To SQL Server
    • 2.1 Advantages and Drawbacks Of SQL Server Compared To Oracle And DB2
    • 2.2 Connecting To Server
    • 2.3 Server Type
    • 2.4 Server Name
    • 2.5 Authentication Modes
    • 2.6 Sql Server Authentication Mode
    • 2.7 Windows Authentication Mode
    • 2.8 Login and Password
    • 2.9 Sql Server Management Studio and Tools In Management Studio
    • 2.10 Object Explorer
    • 2.11 Object Explorer Details
    • 2.12 Query Editor
    • 2.13 TSQL (Transact-Structured Query Language)
  • 3. Introduction To TSQL
    • 3.1 History and Features of TSQL
    • 3.2 Types Of TSQL Commands
    • 3.3 Data Definition Language (DDL)
    • 3.4 Data Manipulation Language (DML)
    • 3.5 Data Query Language (DQL)
    • 3.6 Data Control Language (DCL)
    • 3.7 Transaction Control Language (TCL)
    • 3.8 Database
    • 3.9 Creating Database
    • 3.10 Altering Database
    • 3.11 Deleting Database
    • 3.12 Constrains
    • 3.13 Procedural Integrity Constraints
    • 3.14 Declarative Integrity Constraints
    • 3.15 Not Null, Unique, Default and Check constraints
    • 3.16 Primary Key and Referential Integrity or foreign key constraints
    • 3.17 Data Types In TSQL
    • 3.18 Table
    • 3.19 Creating Table
    • 3.20 Altering Table
    • 3.21 Deleting Table
  • 4. Data Manipulation Language
    • 4.1 Insert
    • 4.2 Identity
    • 4.3 Creating A Table From Another Table
    • 4.4 Inserting Rows From One Table To Another
    • 4.5 Update
    • 4.6 Computed Columns
    • 4.7 Delete
    • 4.8 Truncate
    • 4.9 Differences Between Delete and Truncate
  • 5. Data Query Language (DQL)
    • 5.1 Select
    • 5.2 Where clause
    • 5.3 Order By Clause
    • 5.4 Distinct Keyword
    • 5.5 Isnull() function
    • 5.6 Column aliases
    • 5.7 Predicates
    • 5.8 Between … And
    • 5.9 In
    • 5.10 Like
    • 5.11 Is Null
  • 6. Built In Functions
    • 6.1 Scalar Functions
    • 6.2 Numeric Functions
    • 6.3 Character Functions
    • 6.4 Conversion Functions
    • 6.5 Date Functions
    • 6.6 Aggregate Functions
    • 6.7 Convenient Aggregate Functions
    • 6.8 Statistical Aggregate Functions
    • 6.9 Group By and Having Clauses
    • 6.10 Super Aggregates
    • 6.11 Over(partition by …) Clause
    • 6.12 Ranking Functions
    • 6.13 Common Table Expressions (CTE)
    • 6.14 Top n Clause
  • 7. Set Operators
    • 7.1 Union
    • 7.2 Intersect
    • 7.3 Except
    • 7.4 Joins
    • 7.5 Inner Join
    • 7.6 Equi Join
    • 7.7 Natural Join
    • 7.8 Non-Equi Join
    • 7.9 Self Join
    • 7.10 Outer Join
    • 7.11 Left Outer Join
    • 7.12 Right Outer Join
    • 7.13 Full Outer Join
    • 7.14 Cross Join
  • 8. Sub Queries
    • 8.1 Single Row Sub Queries
    • 8.2 Multi Row Sub Queries
    • 8.3 Any or Some
    • 8.4 AlL
    • 8.5 Nested Sub Queries
    • 8.6 Co-Related Sub Queries
    • 8.7 Exists and Not Exists
  • 9. Indexes
    • 9.1 Clustered Index
    • 9.2 NonClustered Index
    • 9.3 Create , Alter and Drop Indexes
    • 9.4 Using Indexes
  • 10. Security
    • 10.1 Login Creation
    • 10.2 SQL Server Authenticated Login
    • 10.3 Windows Authenticated Login
    • 10.4 User Creation
    • 10.5 Granting Permissions
    • 10.6 Revoking Permissions
    • 10.7 Roles
  • 11. Views
    • 11.1 Purpose Of Views
    • 11.2 Creating , Altering and Dropping Indexes
    • 11.3 Simple and Complex Views
    • 11.4 Encryption and Schema Binding Options in creating views
  • 12. Transaction Management
    • 12.1 Introduction
    • 12.2 Begin Transaction
    • 12.3 Commit Transaction
    • 12.4 Rollback Transaction
    • 12.5 Save Transaction
    • 12.6 Role Of Log File In Transaction Management
    • 12.7 Implicit Transactions
  • 13. TSQL Programming
    • 13.1 Drawbacks Of TSQL that leads to TSQL Programming
    • 13.2 Introduction To TSQL Programming
    • 13.3 Control statements In TSQL Programming
    • 13.4 Conditional Control Statements
    • 13.5 If
    • 13.6 Case
    • 13.7 Looping Control Statements
    • 13.8 While
  • 14. Cursors
    • 14.1 Working With Cursors
    • 14.2 Types Of Cursors
    • 14.3 Forward_Only and Scroll Cursors
    • 14.4 Static, Dynamic and Keyset Cursors
    • 14.5 Local and Global Cursors
  • 15. Stored Sub Programs
    • 15.1 Advantages Of Stored Subprograms compared to Independent SQL Statements
    • 15.2 Stored Procedures
    • 15.3 Creating , Altering and Dropping
    • 15.4 Optional Parameters
    • 15.5 Input and Output Parameters
    • 15.6 Permissions on Stored Procedures
    • 15.7 User Defined Functions
    • 15.8 Creating, Altering and Dropping
    • 15.9 Types Of User Defined Functions
    • 15.10 Scalar Functions
    • 15.11 Table Valued Functions
    • 15.12 Inline Table Valued Functions
    • 15.13 Multi Statement Table Valued Functions
    • 15.14 Permissions On User Defined Functions
    • 15.15 Triggers
    • 15.16 Purpose of Triggers
    • 15.17 Differences Between Stored Procedures and User Defined Functions and Triggers
    • 15.18 Creating, Altering and Dropping Triggers
    • 15.19 Magic Tables
    • 15.20 Instead Of Triggers
    • 15.21 Exception Handling
    • 15.22 Implementing Exception Handling
    • 15.23 Adding and removing User Defined Error Messages To And From SQL Server Error Messages List
    • 15.24 Raising Exceptions Manual
  • 16. CLR Integration
    • 16.1 What is CLR Integration and The Steps For Implementing It
    • 16.2 A Simple Example With CLR Integration
  • 17. Working With XML Data Type
  • 18. Backup and Restore Of Database
  • 19. Attach and Detach of Database
  • 20. Normalization

Getting a job in SQL is impossible without proper knowledge on the subject. Ram trainings helps you at its best in this regard. Feel free to contact us on the above numbers for a detailed view.

Ram Trainings is the best organization with SQL experts having years of experience in providing reliable on-the-job support to employees all over the world..

Our SQL professionals have 5+ years of experience in providing proxy interview support for candidates in the USA and Canada in real-time.

Our dedicated system at Ram trainings offers job assistance to beginners as well as working professionals for SQL development jobs. We provide support to professionals lacking in technical SQL skills at their convenient timings from India.

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Testimonial 1

Ram trainings is the best virtual SQL for professionals. The team was very supportive and available any time.

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Testimonial 2

Opted SQL Proxy support from Ram trainings. The instructors and coordinators are very knowledgeable and helpful about the interview support.

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Testimonial 3

Great support from the team. I have associated SQL online training from Ram Trainings. The instructor was very passionate about the concepts and clarified all my doubts. I thank the team for offering the best training

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