SQL Step by Step Videos, Introduction to SQL, SQL Data Definition Language, SQL Data Manipulation Language, and SQL Data Control Language.
SQL Knowledge is required for Database Developers, Database Administrators, and Database Testers (Manual Testers and Automated Testers).
SQL (Structured Query Language) is a domain-specific language used for storing, manipulating and retrieving data in databases.
The IBM researchers Raymond Boyce and Donald Chamberlin originally developed the SEQUEL (Structured English Query Language) after learning from the paper given by E.F. Codd. They both developed the SQL at the San Jose Research laboratory of IBM Corporation in 1970.
SQL is the standard language for Relational Database System. All the Relational Database Management Systems (RDMS) like MySQL, MS Access, Oracle, Sybase, Informix, Postgres and SQL Server use SQL as their standard database language.
- Data definition: It is used to define the structure and organisation of the stored data and relationships among the stored data items.
- Data retrieval: SQL can also be used for data retrieval.
- Data manipulation: If the user wants to add new data, remove data, or modifying in existing data then SQL provides this facility also.
- Access control: SQL can be used to restrict a user’s ability to retrieve, add, and modify data, protecting stored data against unauthorized access.
- Data sharing: SQL is used to coordinate data sharing by concurrent users, ensuring that changes made by one user do not inadvertently wipe out changes made at nearly the same time by another user.
SQL Step by Step Videos
SQL Step by Step Videos, MS SQL Server Installation, Introduction to SQL Fundamentals, SQL Data Definition Language, SQL Data Manipulation Language, and SQL Data Control Language.
SQL is used for Software developers to develop Databases.
SQL is used for Software Testers to conduct Database Testing.
SQL is used for Database Administrators for Database Administration.
(Structured Query Language Commands and Operations, What is SQL?, Purpose of SQL, Who Should Learn SQL?, Subsets of SQL, Data Definition Language, Data Manipulation Language and Data Control Language. SQL Introduction for Database Developers, Database Administrators and Database Testers)
(Overview of SQL, Structured Query Language Syntax, SQL Data Types, SQL Operators, SQL Built-in Functions, SQL Queries and Sub Queries. Data Definition Language, Data Manipulation Language, and Data Control Language Commands.)
(MS SQL Server Express Edition Installation, Download and Install SQL Server for practicing SQL Commands. Download SQL Server or Oracle or MySQL Database Engine, and Install. Launch SQL Server Management studio, Select New Query, and launch SQL Query. Type SQL Commands and Execute.)
(Database Fundamentals, Database Server, Database Objects, Database management systems, Types of DBMS, and Advantages of Relational Database management System. SQL Language Elements, SQL Identifiers, Constants, SQL Data Types, SQL Operators, SQL Functions, SQL Clauses, SQL Queries, and SQL Statements. Install Database Engine, Launch SQL Query Editor, and Write & Execute SQL Commands.,)
(Overview of Database Management System, Database engine, Database Server, Databases and Tables & Records.
Subsets of Structured Query Language, Data Definition Language, Data Manipulation Language, and Data Control Language.
SQL – Data Definition Language Commands and Operations, DDL Create, Alter, Rename, Truncate, and Drop Commands.
Data Definition Language Operations, Create a Database, Use Database, Rename a Database, Drop Database, Create a Table, Rename Table, Add a Column to exiting Table, Add Multiple columns to existing Table, Modify an existing column, Rename a Column, Drop a Column, Truncate a Table, and Drop a Table.)
(Structured Query Language subsets, Data Definition Language, Data Definition Language, and Data Control Language. DML (Data Definition Language) Commands and Operations, Select, Insert Into, Update, and Delete. SQL for Database developers, Database Testers, and Database Administrators.)
(SQL Operators, Arithmetic Operators, Comparison Operators, Compound Operators, and Logical Operators. SQL Operators examples with SQL Where clause to form single and multiple Conditions.)
(SQL Select Query examples, Create a Database, Create a Table, Enter Some Records into the Table, Write select Statement to fetch all Records from a table, Write a Select statement to fetch some columns from a table, SQL Where Clause, write condition in Select Statements using Where clause, and write multiple conditions in Select statements using where clause & SQL Logical operator like And & Or.)
(The SQL Joins clause is used to combine records from two or more tables in a database. A JOIN is a means for combining fields from two tables by using values common to each. )
(What is a Function?, Different types of SQL Functions, MS SQL Server Built-in Functions with Examples, SQL String Functions, SQL Numeric Functions, SQL Date Functions, and SQL Conversion Functions. Launch SQL Server Management Studio, Write SQL Functions with SQL Select Command and execute. SQL Functions are for performing calculations on Data (String, Numbers, Date, and Others.)
(Writing Comments in SQL Code, Writing Single line and multi-line comments in SQL. Purpose of Comments in Computer Programming, Make the Code readable using Comments in SQL, Prevent the code from execution using comments. Comments Syntax may vary from one programming language to another, launch SQL Database Engine, write SQL Statements, and write meaningful comments for code better readability, and execute SQL Code.)
(SQL/MS SQL Server Built-in Functions, Important types of SQL Functions, SQL String Functions, SQL Numeric Functions, SQL Date Functions, and SQL Conversion Function etc… Launch SQL Server Express Edition Database Engine, Write SQL Server Date Functions like CURRENT_TIMESTAP, DATEDIFF, DATEADD, DAY, MONTH, YEAR, DATEPART, and GETDATE like SQL DATE Functions and execute.)
(Popular Relational Database Management Systems, Oracle Database Management System, Microsoft SQL Server, and MYSQL Database Management Systems. Top 10 Relational Database Management Systems include Commercial and Open Source. Top 10 Database Management Systems 1. Oracle, 2. MySQL, 3. Microsoft SQL Server, 4. PostgreSQL, 5. MongoDB, 6. DB2, 7. Cassandra, 8. Microsoft Access, 9. SQLite, 10. Redis)
(SQL vs. NoSQL Databases, Introduction to NoSQL, Difference Between SQL and NoSQL Databases, and Examples for SQL and NoSQL Databases.)
(SQL Interview Questions and Answers on RDBMS Fundamentals, SQL Syntax, SQL Data Types, SQL Operators, SQL Functions, Data Definition Language, Data Manipulation Language, and Data Control Language)
SQL Interview Questions and Answers on Relational Database Management System Fundamentals, SQL Language Fundamentals, and SQL Queries & Sub queries.
SQL (Structured Query Language) Syllabus
- SQL Basic Syntax
- SQL Data Types
- SQL Operators
- SQL Expressions
- SQL Comments
- Data Definition Language Commands and Operations.
- Data Manipulation Language Commands and Operations
- Data Control Language Commands and Operations
- SQL Functions
- SQL Clauses
- SQL Queries and Sub Queries
- SQL Joins
- SQL Views
- SQL Indexes
- SQL Transactions
- SQL Injection
Sub Sets of SQL:
- Data Definition Language (DDL)
- Data Manipulation Language (DML)
- Data Control Language (DCL)
- Transaction Control Statements (TCS)
- Session Control Statements (SCS)
Database Testing (Also known as Back-end Testing) is a type of software testing that checks the schema, tables, triggers, etc. of the Database under test. It also checks data integrity and consistency.
Database Testing can be done Manually as well as using a Test Tool (Automated Testing).
Types of Database Testing:
The 3 types of Database Testing are
- Structural Testing
- Functional Testing
- Non-functional Testing
Challenges of Database Testing:
- Testing huge data and production simulated the database.
- Re-usability of data again for testing and Test data creation.
- Separation of data and queries
- Cost and time were taken to get the data from a massive database
- Frequently altering the database structure
- Unwanted data modification