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About Me
Syed Fahad Ahmed Ashrafi
Working as Python BI Developer in Leading Company.
Fahad Ashrafi
What is Data?
In simple words, data can be facts related to any object in
consideration. For example, your name, age, height, weight,
etc. are some data related to you. A picture, image, file, pdf,
etc. can also be considered data.
A database is a systematic collection of data. They support
electronic storage and manipulation of data. Databases
make data management easy.
Let us discuss a database example: An online telephone
directory uses a database to store data of people, phone
numbers, and other contact details. Your electricity service
provider uses a database to manage billing, client-related
issues, handle fault data, etc.
Let us also consider Facebook. It needs to store,
manipulate, and present data related to members, their
friends, member activities, messages, advertisements, and
a lot more. We can provide a countless number of examples
for the usage of databases.
Types of Databases
• Relational databases:
• Object-oriented databases:
• Centralized database:
• Centralized database:
Importance of Database
• Storage is required in most applications
https://docs.python.org/3/tutorial/introduction.html
What is a Relational
Database?
A relational database is a type of database. It uses a
structure that allows us to identify and access data in
relation to another piece of data in the database. Often,
data in a relational database is organized into tables.
Tables: Rows and Columns
Tables can have hundreds, thousands, sometimes even
millions of rows of data. These rows are often
called records.
Tables can also have many columns of data. Columns are
labelled with a descriptive name (say, age for example) and
have a specific data type.
For example, a column called age may have a type
of INTEGER (denoting the type of data it is meant to hold).
Query the database
Access Database
SQL
Parameter

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Data basis

  • 1.
  • 2. About Me Syed Fahad Ahmed Ashrafi Working as Python BI Developer in Leading Company. Fahad Ashrafi
  • 3. What is Data? In simple words, data can be facts related to any object in consideration. For example, your name, age, height, weight, etc. are some data related to you. A picture, image, file, pdf, etc. can also be considered data.
  • 4. A database is a systematic collection of data. They support electronic storage and manipulation of data. Databases make data management easy. Let us discuss a database example: An online telephone directory uses a database to store data of people, phone numbers, and other contact details. Your electricity service provider uses a database to manage billing, client-related issues, handle fault data, etc. Let us also consider Facebook. It needs to store, manipulate, and present data related to members, their friends, member activities, messages, advertisements, and a lot more. We can provide a countless number of examples for the usage of databases.
  • 5. Types of Databases • Relational databases: • Object-oriented databases: • Centralized database: • Centralized database:
  • 6. Importance of Database • Storage is required in most applications
  • 8. What is a Relational Database? A relational database is a type of database. It uses a structure that allows us to identify and access data in relation to another piece of data in the database. Often, data in a relational database is organized into tables.
  • 9. Tables: Rows and Columns Tables can have hundreds, thousands, sometimes even millions of rows of data. These rows are often called records. Tables can also have many columns of data. Columns are labelled with a descriptive name (say, age for example) and have a specific data type. For example, a column called age may have a type of INTEGER (denoting the type of data it is meant to hold).
  • 10.
  • 11. Query the database Access Database SQL Parameter