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CASSIO : data storing and structuring for information discovery in Adtech Citation for published version (APA): Atria, D. (2019). CASSIO : data storing and structuring for information discovery in
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01
Identify the type of data you will be storing such as text, numbers, or images.
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Choose a suitable data structure based on the type of data, such as arrays, lists, or dictionaries.
03
Decide on a storage method, whether it be a database, file system, or cloud storage.
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Create a schema or template for how the data will be organized and stored.
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Input the data into the chosen storage method following the established schema.

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Any individual or organization that deals with large amounts of data on a regular basis.
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Data storing and structuring refers to the methods and frameworks used to organize, manage, and archive data in a way that makes it easily accessible and analyzable.
Entities that handle large volumes of data, including businesses, organizations, and institutions, may be required to file data storing and structuring depending on regulatory requirements.
To fill out data storing and structuring, organizations must follow prescribed formats and guidelines that detail the data categories, storage methods, and metadata related to the data sets.
The purpose of data storing and structuring is to ensure data integrity, facilitate data retrieval and analysis, and comply with regulatory requirements.
Information reported typically includes data types, storage locations, access controls, and any relevant metadata describing the data sets.
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