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SQL Tutorial
Learn SQL basics and advanced concepts.
TpointTech
www.tpointtech.com
What is SQL?
1 Definition
SQL (Structured Query Language) maintaining the data in
relational database management systems.
2 Purpose
SQL basically used to update, insert, delete records, and
modify database objects.
3 Importance
Essential for data professionals and used by major companies.
Why SQL?
Data Manipulation
Insert, update, and delete data.
Retrieval and Description
Retrieve and describe structured
data.
Database Management
Create, drop, and manipulate
databases and tables.
History of SQL
1 1970
E.F. Codd publishes "A Relational Model of Data".
2 1970s
Boyce and Chamberlin develop SEQUEL at IBM.
3 Late 1970s
Relational Software Inc. develops the first SQL based on RDBMS.
4 1979
Oracle V2, the first SQL implementation, is released.
SQL Commands
CREATE
Create databases, tables, views, etc.
UPDATE
Modify existing data.
DELETE
Remove or erase saved records from database.
SELECT
Retrieve data from tables.
DROP
Delete table, view, database, etc.
INSERT
Easily insert single or multiple records into database tables.
SQL vs NoSQL
Feature SQL NoSQL
Type Relational Non-relational/
Distributed
Schema Predefined, Fixed Dynamic,
Unstructured
Scalability Vertical Horizontal
Data Model Structured Unstructured/
Semi-structured
Language SQL JSON, XML, YAML,
or binary schema
Advantages of SQL
1 Easy to Use
Minimal coding required, user-friendly.
2 Fast Processing
Quick and efficient data access and
manipulation.
3 Standardized
Follows ISO and ANSI standards for
uniformity.
4 Portability
Used in desktop computers,
laptops, tablets, and even
smartphones.
5 Interactive language
Receive the answers to complex
queries in seconds.
6 More than one Data View
Enables custom database views for
different users.
Disadvantages of SQL
1 Costly
Some versions have high
operational costs.
2 Complex Interface
The interface of Structured
query language is difficult.
3 Limited Control
Partial database control due
to hidden business rules.
Thank You

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SQL(Structured Query Language) Tutorials TpointTech

  • 1. SQL Tutorial Learn SQL basics and advanced concepts. TpointTech www.tpointtech.com
  • 2. What is SQL? 1 Definition SQL (Structured Query Language) maintaining the data in relational database management systems. 2 Purpose SQL basically used to update, insert, delete records, and modify database objects. 3 Importance Essential for data professionals and used by major companies.
  • 3. Why SQL? Data Manipulation Insert, update, and delete data. Retrieval and Description Retrieve and describe structured data. Database Management Create, drop, and manipulate databases and tables.
  • 4. History of SQL 1 1970 E.F. Codd publishes "A Relational Model of Data". 2 1970s Boyce and Chamberlin develop SEQUEL at IBM. 3 Late 1970s Relational Software Inc. develops the first SQL based on RDBMS. 4 1979 Oracle V2, the first SQL implementation, is released.
  • 5. SQL Commands CREATE Create databases, tables, views, etc. UPDATE Modify existing data. DELETE Remove or erase saved records from database. SELECT Retrieve data from tables. DROP Delete table, view, database, etc. INSERT Easily insert single or multiple records into database tables.
  • 6. SQL vs NoSQL Feature SQL NoSQL Type Relational Non-relational/ Distributed Schema Predefined, Fixed Dynamic, Unstructured Scalability Vertical Horizontal Data Model Structured Unstructured/ Semi-structured Language SQL JSON, XML, YAML, or binary schema
  • 7. Advantages of SQL 1 Easy to Use Minimal coding required, user-friendly. 2 Fast Processing Quick and efficient data access and manipulation. 3 Standardized Follows ISO and ANSI standards for uniformity. 4 Portability Used in desktop computers, laptops, tablets, and even smartphones. 5 Interactive language Receive the answers to complex queries in seconds. 6 More than one Data View Enables custom database views for different users.
  • 8. Disadvantages of SQL 1 Costly Some versions have high operational costs. 2 Complex Interface The interface of Structured query language is difficult. 3 Limited Control Partial database control due to hidden business rules.