Data warehouse concepts: your data warehouse glossaryv
Posted: Tue Jan 21, 2025 10:12 am
Discover the data warehouse concepts you need to know in order to understand all the information related to the processes and components of your data warehouse.
It is not easy to enter the world of data warehouses without being clear about the terminology that is most commonly used to refer to its components. Several data warehouse concepts are of particular importance to data warehousing and it is important for business users to become familiar with them.
The data warehouse concepts you should know
You don't need to have a technical background or be a rich people database in the field of data storage to understand some of the most frequently used terms. These data warehouse concepts are as follows:
Attribute - An attribute field is represented by a column within an object (entity). An object can be considered a table, view, or report.
Back - end tool : This type of tool is a software application, usually resident on both the client and the server, that assists in the production data extraction process.
Client: This is any software application that is used to extract or download applications, data or some type of service from a host system.
Data mart : A data mart is an object-oriented subset of data. Its main feature is its classic design, which makes it much easier to use.
Entity - This is one of the objects that exist in any database such as a table, view, report or screen.
You may be interested in reading:
Our data warehouse allows us to know everything about our clients
Front-end tool: This client tool can be used to obtain or manipulate data stored in a relational database.
Gigabyte - A gigabyte is a unit of capacity equal to 1 trillion bytes.
HTTP: This acronym refers to the Hypertext Transfer Protocol (HTTP), a fixed set of commands used during a hypertext link between a client and a server.
Index: is the link that connects one table to another, providing quick access to the rows of one table based on the values of 1 or more columns of the other table.
Metadata : Data about data, one of the most important data warehouse concepts . Metadata explains the type of information that should be contained in each field of the tables.
Normalize: This term defines the process of eliminating redundancy in data by separating it into several different tables.
OLAP: Online Analytical Processing is a set of software tools that provides a three-dimensional framework for decision making.
It is not easy to enter the world of data warehouses without being clear about the terminology that is most commonly used to refer to its components. Several data warehouse concepts are of particular importance to data warehousing and it is important for business users to become familiar with them.
The data warehouse concepts you should know
You don't need to have a technical background or be a rich people database in the field of data storage to understand some of the most frequently used terms. These data warehouse concepts are as follows:
Attribute - An attribute field is represented by a column within an object (entity). An object can be considered a table, view, or report.
Back - end tool : This type of tool is a software application, usually resident on both the client and the server, that assists in the production data extraction process.
Client: This is any software application that is used to extract or download applications, data or some type of service from a host system.
Data mart : A data mart is an object-oriented subset of data. Its main feature is its classic design, which makes it much easier to use.
Entity - This is one of the objects that exist in any database such as a table, view, report or screen.
You may be interested in reading:
Our data warehouse allows us to know everything about our clients
Front-end tool: This client tool can be used to obtain or manipulate data stored in a relational database.
Gigabyte - A gigabyte is a unit of capacity equal to 1 trillion bytes.
HTTP: This acronym refers to the Hypertext Transfer Protocol (HTTP), a fixed set of commands used during a hypertext link between a client and a server.
Index: is the link that connects one table to another, providing quick access to the rows of one table based on the values of 1 or more columns of the other table.
Metadata : Data about data, one of the most important data warehouse concepts . Metadata explains the type of information that should be contained in each field of the tables.
Normalize: This term defines the process of eliminating redundancy in data by separating it into several different tables.
OLAP: Online Analytical Processing is a set of software tools that provides a three-dimensional framework for decision making.