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SQL Tutorial

Home » Data Science » Data Science Tutorials » SQL Tutorial

Basic

What is SQL

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Uses of SQL

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What is SQL Server?

SQL Server Versions

SQL Case Insensitive

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Database in SQL​ 

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Composite Key in SQL

SQL WAITFOR

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First Normal Form

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SQL GROUP BY WHERE

SQL ROW

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Cheat Sheet SQL

Operators

SQL Operators

SQL Arithmetic Operators

SQL Logical Operators

SQL String Operators

Ternary Operator in SQL

Commands

SQL Commands

sqlplus set commands

SQL Alter Command

SQL Commands Update

SQL DML Commands

SQL DDL Commands

FETCH in SQL

Clause

SQL Clauses

SQL IN Operator

SQL LIKE Clause

SQL NOT Operator

SQL Minus

SQL WHERE Clause

SQL with Clause

SQL HAVING Clause

GROUP BY clause in SQL

SQL GROUP BY DAY

ORDER BY Clause in SQL

SQL ORDER BY CASE

SQL ORDER BY DESC

SQL ORDER BY DATE

SQL ORDER BY Alphabetical

SQL ORDER BY Ascending

SQL Order by Count

SQL GROUP BY Month

SQL GROUP BY Multiple Columns

SQL GROUPING SETS

Queries

SQL Insert Query

SQL SELECT Query

SQL SELECT RANDOM

SQL Except Select

SQL Subquery

SQL SELECT DISTINCT

SQL WITH AS Statement

Keys

SQL Keys

Primary Key in SQL

Foreign Key in SQL

Unique Key in SQL

Alternate Key in SQL

SQL Super Key

Functions

SQL Date Function

SQL String Functions

SQL Compare String

Timestamp to Date in SQL

SQL Window Functions

SQL Timestamp

SQL TO_DATE()

SQL DATEADD()

SQL DATEDIFF()

SQL HOUR()

SQLite functions

ANY in SQL

LIKE Query in SQL

SQL NOT NULL

SQL NOT IN

SQL MAX()

SQL MIN()

SQL SUM()

SQL COUNT

SQL identity

SQL DELETE Trigger

SQL Declare Variable

SQL Text Search

SQL COUNT DISTINCT

SQL TEXT

SQL Limit Order By

BETWEEN in SQL

LTRIM() in SQL

TOP in SQL

SQL Select Top

Merge SQL

SQL TRUNCATE()

SQL UNION

SQL ALL

SQL INTERSECT

SQL Alias

SQL Server Substring

CUBE in SQL

SQL RANK()

SQL MOD()

SQL CTE

SQL LAG()

SQL MID

SQL avg()

SQL WEEK

SQL DELETE

SQL DATEPART()

SQL DECODE()

SQL DENSE_RANK()

SQL NTILE()

SQL NULLIF()

SQL Stuff

SQL Ceiling

SQL EXISTS

SQL LEAD()

SQL COALESCE

SQL BLOB

SQL ROW_NUMBER

SQL Server Replace

SQL Server Permission

T-SQL INSERT

SQL Ranking Function

Joins

Join Query in SQL

Types of Joins in SQL

Types of Joins in SQL Server

SQL Inner Join

SQL Join Two Tables

SQL Delete Join

SQL Left Join

LEFT OUTER JOIN in SQL

SQL Right Join

SQL Cross Join

SQL Outer Join

SQL Full Join

SQL Self Join

Natural Join SQL

SQL Multiple Join 

Advanced

SQL Formatter

SQL Injection Attack

Aggregate Functions in SQL

IF ELSE Statement in SQL

SQL CASE Statement

SQL While Loop

SQL BIGINT

SQL Crosstab

SQL Wildcard Character

SQLAlchemy Filter

SQLAlchemy create_engine

SQL INSTR()

SQL now

SQL synonyms

SQLite export to csv

What is Procedure in SQL?

Stored Procedure in SQL 

SQL Server Constraints

SQL DELETE ROW

Column in SQL

Table in SQL

SQL Virtual Table

SQL Merge Two Tables

SQL Table Partitioning

SQL Temporary Table

SQL Clone Table

SQL Rename Table

SQL LOCK TABLE

SQL Clear Table

SQL DESCRIBE TABLE

SQL Mapping

Cursors in SQL

AND in SQL

Wildcard in SQL

SQL FETCH NEXT

SQL Views

SQL Delete View

Triggers in SQL

SQL UPDATE Trigger

SQL AFTER UPDATE Trigger

SQL Update Statement

SQL DROP TRIGGER

Types of SQL Views

SQL Port

SQL Clustered Index

SQL COMMIT

Distinct Keyword in SQL

PARTITION BY in SQL

SQL Set Operators

SQL UNION ALL

Metadata in SQL

SQL Bulk Insert

Array in SQL

SQL REGEXP

JSON in SQL

SQL For loop

EXPLAIN in SQL

ROLLUP in SQL

Escape Character SQL

SQL Cluster

SQL Backup

SQL Pattern Matching

SQL Users

ISNULL SQL Server

SQL pivot

SQL Import CSV

SQL if then else

SQL ignore-case

SQL Matches

SQL Search String

SQL Column Alias

SQL extensions

SQL Substring Function

Charindex SQL

NoSQ

NoSQL Databases List

NoSQL Injection

NoSQL vs SQL Databases

Interview Questions

SQL Interview Questions

Advance SQL Interview Questions And Answers

SQL Joins Interview Questions

SQL Server Interview Questions

SQL Tutorial

Structures Query Language is the abbreviation of SQL. To access and manipulate the databases, we use SQL. In 1986, the American National Standards Institute (ANSI) made SQL as the standard. In 1987, the International organization for standardization (ISO) made SQL as the standard. SQL can perform the following functions:

  • Queries can be executed against the database in SQL.
  • Data can be retrieved from the database using SQL.
  • Records can be inserted into a database using SQL.
  • Records can be updated into a database using SQL.
  • Records can be deleted from a database using SQL.
  • New databases can be created using SQL.

 The necessity to Learn SQL

The three main reasons to study SQL are:

  • Everywhere we use SQL

All the biggest companies like Uber, Netflix, Airbnb, etc. in technology use SQL. Those companies that have in-built high-performance database systems like Amazon, Google, Facebook, etc. also use SQL to do analysis. SQL is found everywhere though it is old. SQL is used in everything or a derivative of SQL is used in everything.

  • The demand for SQL is high

The first job in data will require SQL for entry-level jobs. In the majority of the ads for jobs, SQL is mentioned more than Python and R. Yes, learning SQL is necessary to be qualified for jobs, it sets us apart from other people who only concentrate on trending technologies.

  • SQL is not a dying language

SQL is a language of choice for data engineers and data scientists. Among other popular technologies like NoSQL, Hadoop, etc. SQL is still one of the important languages not only in the field of data but also in the area of development.

Applications of SQL

 The applications of SQL are:

  • Scripts for data integration

The database administrators and developers make use of SQL to write data integration scripts.

  • Analytical Queries

The setting up and running of analytical queries can be done using structured query language by data analysts.

  • Information Retrieval

The subsets of information from a database for analytical applications and transaction processing can be retrieved using a structured query language. Select, update, create, insert, alter, delete, add, etc. are the most commonly used structured query language elements.

  • Other applications that are important

The index structures and database tables can be modified using a structured query language. By using this language, addition, updating, modification of data in the database can be done by the users.

Example:

Consider we have a table called “Customers” table consisting of information like customer ID, customer name, Contact name, address, city, postal code, and country. The below SQL query retrieves all the information from the customer table:

SELECT * FROM Customers;

 Pre-requisites to Learn SQL

There are no prerequisites as such to learn SQL, basic knowledge of relational database management system is helpful.

Target Audience

Beginners can refer to this tutorial to understand SQL basics. This tutorial is helpful for people who want to pursue a career in the field of SQL. This tutorial is good learning for all other readers.

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