Aggregation in DBMS
In database management, aggregation refers to the process of combining data from multiple sources into a single, unified view. This is typically done to enable easier analysis and reporting of the data.
Aggregation refers to the process by which entities are combined to form a single meaningful entity. The specific entities are combined because they do not make sense on their own. To establish a single entity, aggregation creates a relationship that combines these entities. The resulting entity makes sense because it enables the system to function well.
When using data in the form of numerical values, the following operations can be used to perform DBMS aggregation:
Average (AVG): This function provides the mean or average of the data values.
Sum: This provides a total value after the data values have been added.
Count: This provides the number of records.
Maximum (Max): This function provides the maximum value of a given set of data.
Minimum (Min): This provides the minimum value of a given set of data.
Standard deviation (std dev): This provides the dispersion or variation of the sets of data. Let’s take a simple example of a database of student marks. If the standard deviation is high, it means the average is obtained by lower number of students than usual, and the lowest and highest marks are higher.
There are several ways that data can be aggregated in a database. Some common methods include:
Summarization:
This involves creating summary records that contain aggregated data from multiple records. For example, you could create a summary record that shows the total sales for a particular product across multiple regions.
Grouping:
This involves grouping records together based on common values in one or more fields. For example, you could group all customer records together by the city in which they live.
Joining:
This involves combining data from two or more tables or views into a single table or view. This is often done using a join clause in a SQL query.
Pivoting:
This involves rearranging data so that it can be displayed in a different format. For example, you could pivot a table so that the columns represent different product categories and the rows represent different regions.
DBMS Aggregation is an important process in database management because it allows you to analyze and report on data in a more meaningful and efficient way. It is often used in combination with other database techniques, such as filtering and sorting, to help you get the most out of your data.
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Created by-- HARSH CHAUHAN
