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SQL Training
SQL Training
  • SQL Training
  • Prerequisites
  • How we Provide
  • Objective
  • Projects and JOB
  • Topics
What is SQL?

SQL (pronounced ess-que-el) stands for Structured Query Language. SQL is used to communicate with a database, and is the de facto standard database query language. XPERT INFOTECH provides sql training according to the current requirement of IT industry. SQL is an ANSI (American National Standards Institute) standard there are many different versions of the SQL language. They all support at least the major commands (such as SELECT, UPDATE, DELETE, INSERT, WHERE) in a similar manner. As its full name (Structured Query Language) implies, SQL is responsible for querying and editing information stored in a certain database management system. A variety of established database products support SQL, including products from Oracle and Microsoft SQL Server. It is widely used in both industry and academia, often for enormous, complex databases.

SQL was one of the first commercial languages for Edgar F. Codd's relational model, A Relational Model of Data for Large Shred Data Banks. The origins of the SQL take us back to the 1970s, when in the IBM laboratories, new database software was created - System R. And to manage the data stored in System R, the SQL language was created. At first it was called SEQUEL, a name which is still used as an alternative pronunciation for SQL, but was later renamed to just SQL. SQL falls into two classes:Data Manipulation Language (DML) - SQL for retrieving and storing data.

Data Design Language (DDL) - SQL for creating, altering and dropping tables. Most of the time, the SQL you use is for manipulating the data but occasionally you'll need to create new tables, alter existing ones or add an index. One of the best things about SQL is that you can do all of these operations with just simple SQL commands. Our institute prefer real-time guidance rather than bookish information to acquaintance with growing demand in the IT Industry today.We trust in providing practical and interactive trainings with Certification Orientation that is making us one of The Best Training Providers in the IT Industry winning trusted relationship with our trainees.

Before going through SQL live project training candidate should have knowledge of given concepts listed below:
  • Strong Knowledge of Computer
  • Knowledge of Basic understanding of databases
SQL Training provided by Real time SQL Developer of our company, has more than 4 years of domain experience.
  • We will provide real time project training with code explanation and implementation.
  • Our training modules are completely designed according to current IT market.
  • After completion of 75% of course, student will go through Major Project Training, Live Project Training, Interview Preparation and Recruitment process in IT Industry.
  • Student will go through the training of knowledge of database as a complimentary package before starting of SQL.
  • We offer regular, fast track and weekend training in SQL course.
  • Study material is provided with the course which consist of concepts, examples and real time examples.
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Benefits of Courses
  • SQL Developer
  • SQL Expert
SQL Training provided by Real time .net Developer of our company, has more than 4 years of domain experience.
  • We will provide real time project training with code explanation and implementation.
  • Our training modules are completely designed according to current IT market.
  • After completion of 75% of course, student will go through Major Project Training, Live Project Training, Interview Preparation and Recruitment process in IT Industry.
  • Student will go through the training of HTML, CSS and JavaScript as a complimentary package before starting of SQL .
  • We offer regular, fast track and weekend training in SQL course.
  • Study material is provided with the course which consist of concepts, examples and real time examples.
Relational Database Fundamentals
  • Overview of Relational Database Concepts
  • Relational Databases and Relational Database Management Systems
  • SQL, DML and DDL Languages
Data types, operators and expressions (the basics)
  • Displaying Table Structures
  • Column Datatypes
  • SELECTing Column Data From a Table or View
  • SELECT DISTINCT Values
  • COUNTing Rows
  • Restricting Rows using the WHERE Clause
    • Using Operators
    • Mathematical
    • Logical
    • Comparison
    • Concatenation
    • Set Operators
  • Sorting Results Using ORDER BY
  • Joining Multiple Tables
  • Using Column and Table Aliases
Advanced Query Techniques
  • Outer Joins
  • Joining a Table to Itself
  • Subqueries
  • Hierarchical Queries
  • Grouping, Filtering and Sorting Query Results
  • Tips for Developing Complex SQL Queries
Manipulating Table Data Using SQL's Data Manipulation Language (DML)
  • INSERT into Tables
  • UPDATE Table Data
  • DELETE from Tables
  • TRUNCATE Tables
  • Controlling Transactions
    • COMMIT
    • ROLLBACK
Creating a Database
  • Database Development Methodology Overview
  • Building a Logical Data Model
    • Identifying Entities and Attributes
    • Isolating Keys
    • Relationships between Entities
    • Creating Entity-Relationship Diagrams
  • Transforming to Physical Design
    • Migrating Entities to Tables
    • Selecting Primary Keys
    • Defining Columns
    • Enforcing Relationships with Foreign Keys
  • Constructing the Database using DDL
    • Creating Tables, Indexes, Constraints and Views
Managing Database Objects
  • Dropping Tables, Indexes and Views
  • ALTERing Tables, Indexes and Views
  • Enabling and Disabling Constraints
  • Managing Security
Performance Tuning
  • Writing Efficient SQL
  • Indexing for Performance
  • Index-Organized Tables
  • Clustering
Stored Procedures
  • Definition and Benefits of Use
  • CREATE PROCEDURE
    • Syntax
    • Variables and Parameters
    • Code Examples
  • Temporary Tables
  • Control of Program Flow
  • ALTER and DROP PROCEDURE
  • Implementation Differences
User-Defined Functions
  • Definition and Benefits of Use
  • CREATE FUNCTION
    • Syntax
    • RETURN Clause and the RETURNS Statement
    • Scalar vs. Table Functions
  • Comparison with Stored Procedures
  • Returning Scalar Values and Tables
  • ALTER and DROP FUNCTION
Triggers
  • Definition and Benefits of Use
  • Alternatives (e.g., Constraints)
  • CREATE TRIGGER
    • Syntax
    • Trigger Types
  • "Inserted" (or "NEW") and "Deleted" (or "OLD") Tables
  • Event Handling and Trigger Execution
  • Nested and Recursive Triggers
  • ALTER and DROP TRIGGER
Download SQL Course Contents : SQL Training Course Contents
What We Provide
 
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