![]() ![]() ![]() It helps in preparing data that would be cast to a required format for further analysis to gain useful insights. The data obtained from different sources can be Unstructured, Semi-Structured, or Structured.Ĭorporations, individuals, or companies frequently extract data to analyze it using Business Intelligence (BI) tools, migrate the data to a repository, or replicate data as a backup.ĭata Extraction is the first step in the Extract, Transform, and Load ( ETL) processes in the data ingestion paradigm. What is Data Extraction? Image Source: Data Entry Expertĭata Extraction can be defined as the process where data is retrieved from various data sources for further data processing and analysis to gather valuable business insights or storage in a central Data Warehouse. ![]()
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