An aggregate is a group made up of a collection of items. Aggregated data is data that has been summed or grouped - hopefully according to a logical pattern. We need aggregated data because a heap of unsorted data is useless. Thus if you had a database which collected names and addresses you would aggregate street names into one group, and family names into another (otherwise your scrambled data might lead you to believe Mr. Walnut lives on Smith Street).
You can manipulate aggregates to form other aggregates, for instance grouping all of your products made in Rome, Copenhagen and Paris into an aggregate of products manufactured in Europe. You can also enumerate the pieces within your aggregate so that you can make comparisons between them. Are the collective sales of the North American division larger or smaller than the European one (for instance)?
Usually, when observations and measurements are aggregated, these are called DATA.
Usually, when observations and measurements are aggregated, these are called DATA.
Usually, when observations and measurements are aggregated, these are called DATA.
In addition the raw data is aggregated into the current monthly log file in an anonymised fashion.
Aggregated knowledge would be knowledge collected from many sources.
An aggregated sentence is one that is a cluster of words. It does not make sense and it is not formed properly.
Granularity refers to the level of detail of the data stored fact tables in a data warehouse. High granularity refers to data that is at or near the transaction level. Data that is at the transaction level is usually referred to as atomic level data. Low granularity refers to data that is summarized or aggregated, usually from the atomic level data. Summarized data can be lightly summarized as in daily or weekly summaries or highly summarized data such as yearly averages and totals.
Operational data is used to run day-to-day business operations and is typically structured, detailed, and transactional. Decision support data, on the other hand, is used to analyze trends, patterns, and make strategic decisions. Decision support data is often aggregated, summarized, and historical.
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Advantages: •Data isn't dependent on structure of the database. •Restrict access to a database. •Subset of data contained in a table. •Join and simplify multiple tables into a single virtual table. •Acts as aggregated tables, where aggregated data (sum, average etc.) are calculated and presented as part of the data. •Gives real time data. Disadvantages: •Rows available through a view are not sorted and are not ordered either. •Cannot use DML operations on a View. •When table is dropped view becomes inactive, it depends on the table objects. •It affects performance, querying from view takes more time than directly querying from the table Pratyush7
Aggregated means summarized in some fashion. The summary could be a simple average, a weighted average, or the aggregation could be across several different categories. In the case of marks (academic grades) perhaps they are aggregated by class, or age, across several different schools.
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