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Data retrieval

Data retrieval

(also data extraction)

Data retrieval definition

Data retrieval is a process that locates, extracts and presents information from data repositories. It typically uses queries or structured requests for specific data or information based on certain criteria. Data retrieval enables users to efficiently access and utilize data, making it crucial for data analysis, decision-making, and reporting. Moreover, data retrieval ensures the confidentiality, integrity, and availability of the data while protecting it from unauthorized access or tampering.

See also: firewall, GDPR

Data retrieval pros

  • Quick access to stored data.
  • It improves decision-making and analysis.
  • Flexible filtering and sorting.
  • Compatibility with various query languages.

Data retrieval cons

  • It can cause security risks.
  • May require specialized knowledge or skills.
  • It can negatively impact database performance.

Data retrieval vs. data acquisition

  • Data retrieval: Locating, extracting, and presenting information from existing databases, data storage systems, or other data repositories. It implies using queries, filters, or search criteria to find and extract specific data from the storage systems. Data retrieval helps organizations utilize data in a meaningful way.
  • Data acquisition: Collecting, measuring, and storing data from various external sources. It implies gathering new data from external sources and converting it into a format that organizations can easily analyze and store for future use.

Further reading

Ultimate digital security