Databases: Difference between revisions

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[[file:Database.png|right|frame|Databases<ref>http://www.flaticon.com/</ref>]]
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A database is an organized collection of data.  It is the collection of schemas, tables, queries, reports, views and other objects. The data are typically organized to model aspects of reality in a way that supports processes requiring information, such as modelling the availability of rooms in hotels in a way that supports finding a hotel with vacancies.<ref>https://en.wikipedia.org/wiki/Database</ref>
A database is an organized collection of data.  It is the collection of schemas, tables, queries, reports, views and other objects. The data are typically organized to model aspects of reality in a way that supports processes requiring information, such as modelling the availability of rooms in hotels in a way that supports finding a hotel with vacancies.<ref>https://en.wikipedia.org/wiki/Database</ref>


== Big Ideas in Databases ==
== Big Ideas in Databases ==
* Data modeling
 
*  [[Entity relationship diagramming]]
*  [[Entity relationship diagramming]]
*  Entity relationships
*  Working with entity relationships
*  [[Normalization]]
*  [[Normalization]]
*  [[Unique identifiers]]
*  Transforming From Conceptual Model to Physical Model
*  Introduction to SQL
*  SELECT Statements and Relational Database Technology
*  Using the WHERE Clause
*  Restricting Rows and Introduction to Functions
*  Using Character, Number, and Date Functions
*  Using Single Row Functions
*  Fundamentals of Database Security
*  Understanding Database Transactions
*  MySQL: monitoring and performance
*  MySQL: security
*  [[ACID]]
*  [[CRUD]]
*  [[NoSQL]] (Advanced)


== Looking to learn more ==


# Please take a look at our [[SQL]] page
== ACID ==
 
In computer science, ACID (atomicity, consistency, isolation, durability) is a set of properties of database transactions intended to guarantee data validity despite errors, power failures, and other mishaps. In the context of databases, a sequence of database operations that satisfies the ACID properties (which can be perceived as a single logical operation on the data) is called a transaction. For example, a transfer of funds from one bank account to another, even involving multiple changes such as debiting one account and crediting another, is a single transaction.<ref>https://en.wikipedia.org/wiki/ACID</ref>
 
 
[[File:Acid.png|thumb]]


== Data Vs. Information ==  
== See also ==
The words "data" and "information" are often used as if they are synonyms. Nevertheless, they have different meanings.


* Data is raw material from which you can draw conclusions; facts from which you can deduce new facts.
# Please take a look at our [[SQL]] page
*  Information is knowledge, intelligence, a particular piece of data with a special meaning or function. Information is often the result of combining, comparing, and performing calculations on data.<ref>https://academy.oracle.com/en/oa-web-overview.html</ref>


== References ==
== References ==

Latest revision as of 07:03, 1 September 2022

Databases[1]

A database is an organized collection of data. It is the collection of schemas, tables, queries, reports, views and other objects. The data are typically organized to model aspects of reality in a way that supports processes requiring information, such as modelling the availability of rooms in hotels in a way that supports finding a hotel with vacancies.[2]


Big Ideas in Databases[edit]


ACID[edit]

In computer science, ACID (atomicity, consistency, isolation, durability) is a set of properties of database transactions intended to guarantee data validity despite errors, power failures, and other mishaps. In the context of databases, a sequence of database operations that satisfies the ACID properties (which can be perceived as a single logical operation on the data) is called a transaction. For example, a transfer of funds from one bank account to another, even involving multiple changes such as debiting one account and crediting another, is a single transaction.[3]


Acid.png

See also[edit]

  1. Please take a look at our SQL page

References[edit]