SQL (Structured Query Language) is a database query language that stores, manipulates, and retrieves data. SQL was created at IBM in the 1970s and became an American National Standards Institute (ANSI) standard in 1986. Although most database systems employ SQL, they often include their proprietary extensions that are exclusively used on their platform. Pl/SQL in Oracle, for example. Data Definition Language (DDL), Data Manipulation Language (DML), and Data Control Language (DCL) are SQL subsets (DCL).
SQL Course Syllabus
The Basics of SQL
What is SQL?, What is the purpose of SQL?, Who should study SQL?, What are the subsets of SQL?, What are the SQL vs. NoSQL.
Introduction to Databases and RDBMS
What is a Database?, Database Objects, Database Tables, Table Records, Types of Database Management Systems, Relational Database Management Systems, SQL/Relational Databases vs. No SQL Databases.
Configure a Database Engine
Download and install MS SQL Server, Oracle, or MySQL Database Engine. Select New Query in SQL Server Management Studio and run SQL Query. SQL commands must be typed and then executed.
Syntax in SQL
Pay special attention to SQL Syntax, SQL Keywords, SQL Case Insensitivity, SQL Comments, SQL Commands, and SQL Statements. SQL Numeric data types, Date and Time data types, Character and String data types, Unicode character string data types, Binary data types, and Miscellaneous data types.
Operators in SQL
Arithmetic Operators, Comparison Operators, Logical Operators, and Bitwise Operators are all SQL Arithmetic Operators.
Expressions in SQL
SQL Boolean Expression, SQL Numeric Expression, and SQL Date Expression are examples of SQL expressions.
SQL Comments are used to clarify portions of SQL statements or to prevent SQL statements from being executed. Both single-line and multi-line comments.
Data Definition Language
Create, Alter, Drop, Truncate, and Rename are SQL Data Definition Language commands.
Language Operations for Data Definition, Create a database, then use it. Rename a database, Delete a database, and so on. Make a Table. Rename the table to an existing table, add a column. Add several columns to a table that already exists. Make a change to an existing column, Drop a Table, Truncate a Table, and Drop a Table.
Data Manipulation Language
SELECT, INSERT, UPDATE, and DELETE are Data Manipulation Language commands.
Language Operations for Data Manipulation, Getting information from a table, Inserting data into a database, updating existing data in a table, and removing all entries from a table are all examples of table operations.
Commands in SQL
GRANT and REVOKE, for example, are DCL commands that deal with the database system’s rights, permissions, and other controls.
Functions in SQL
For doing calculations on data, SQL offers several built-in functions. SQL Aggregate Functions, SQL String Functions, SQL Date Functions, and SQL Scalar Functions are all examples of SQL Aggregate Functions.
SQL Queries and Sub Queries are two types of SQL queries.
A query is a way to search through a set of data, whether it’s little or vast, to locate the information you’re looking for.
A subquery is a query that is nested within another query. A subquery is included in a bigger query. INNER QUERY OR NESTED QUERY is another name for a subquery.
Clauses in SQL
Conditionals in high-level languages are analogous to SQL clauses. SQL clauses such as the Where clause, Union Clase, Order By clause, and others come in a wide range of options.
Joins in SQL
To merge records from two or more tables in a database, use the SQL Joins clause. A JOIN is a method of joining fields from two tables by using values that are shared by both.
Views in SQL
In SQL, views are similar to virtual tables. Rows and columns in a view are the same as they are in a database table. A view may be created by choosing fields from one or more tables in the database.
Indexes in SQL
A schema object is an index. The server uses it to employ a pointer to speed up the retrieval of rows. It can minimize disc I/O (input/output) by locating data rapidly via a rapid route access mechanism.
The syllabus may look overwhelming but it’s not that difficult to learn computer science engineering courses. All you need is dedication, commitment, and hard work to get through the course and excel in the respective domains.