What is data extraction in data warehouse?

What is extraction data warehouse?

Overview of Extraction in Data Warehouses Extraction is the operation of extracting data from a source system for further use in a data warehouse environment. This is the first step of the ETL process. After the extraction, this data can be transformed and loaded into the data warehouse.

What is the meaning of extracting data?

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.

What is data extraction example?

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!

What are the two types of data extraction?

Coming back to data extraction, there are two types of data extraction: Logical and Physical extraction.