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Structured data is information that is brief, accurate, and well-organized. It has a quantitative aspect, meaning that it is tied to quantities and contains quantitative values like numbers, dates, and times.
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Introduction Before discussing Structured Data we will discuss what is data. Data, in general, is a specific type of information that is gathered and interpreted for a certain purpose. Data can exist in a variety of formats, including bits and bytes kept in electronic memory, numbers or text written on paper, or knowledge held in one's memory.
Structured Data Structured data is information that is brief, accurate, and well-organized. It has a quantitative aspect, meaning that it is tied to quantities and contains quantitative values like numbers, dates, and times. As compared to unstructured data, Structured data is easy to search and analyze and it exists in a predefined format.
Example Of Structured Data Relational database is the best example of structured data because it consists of tables with rows and columns. Tables like those seen in Google Docs spreadsheets and Excel files generally contain structured data. SQL is the programming language that is used for managing structured data and structured data is highly organized and understandable for machine language.
Usage of Structured Data Customer Relationship Management 1 CRM software creates datasets that show patterns and trends in customer behavior by processing structured data through analytical tools. Online Booking 2 Data from hotel and ticket reservations, such as dates, costs, and locations, are organized in "rows and columns," as is characteristic of the pre-defined data model. Accounting 3 Structured data is used by accounting departments and corporations to process and record financial transactions.
Pros of Structured Data Easily used ML algorithms 1 Querying and manipulation of machine learning data are made easier by the precise and orderly architecture of structured data. Easily Used by Business Users 2 Data from hotel and ticket reservations, such as dates, costs, and locations, are organized in "rows and columns," as is characteristic of the pre-defined data model. Accessible by More Tools 3 Since structured data is older than unstructured data, more tools are available for using and evaluating it.
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