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Data extraction is the process of retrieving specific information or data from various sources, such as databases, websites, documents, or APIs. It involves extracting structured or unstructured data and transforming it into a usable format for analysis, reporting, or integration into other systems. Here’s an overview of data extraction:
Data Sources: Data extraction begins by identifying the sources from which data needs to be extracted. This can include databases (SQL, NoSQL), web pages, PDFs, spreadsheets, text files, APIs, or even physical documents.
Database Extraction: Involves querying databases using SQL or other database query languages to retrieve specific data based on defined criteria.
Web Scraping: Utilizes automated tools or scripts to extract data from websites by parsing HTML or other structured formats.
Challenges: Data extraction can face challenges such as dealing with unstructured data, handling large volumes of data, ensuring data quality and accuracy, and privacy, and complying with data governance and regulatory requirements.