BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Unstructured data extraction Examples of data sources include web pages, emails, text documents, PDFs, scanned text, mainframe reports, or spool files. However, it’s crucial to remember that the information contained within them is no less valuable than that found in structured forms!

Detailed explanation-2: -There are three main types of data extraction in ETL: full extraction, incremental stream extraction, and incremental batch extraction. Full extraction involves extracting all the data from the source system and loading it into the target system.

Detailed explanation-3: -Data in a warehouse can come from various places, and a data warehouse must use three different approaches to use it. Extraction, Transformation, and Loading are the terms for these procedures (ETL).

Detailed explanation-4: -Data extraction is the process of collecting or retrieving disparate types of data from a variety of sources, many of which may be poorly organized or completely unstructured.