What is the process of extracting data from a data warehouse?

What is the process 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 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 process helps in extracting meaning from data?

Data extraction is a process that involves retrieval of data from various sources. Frequently, companies extract data in order to process it further, migrate the data to a data repository (such as a data warehouse or a data lake) or to further analyze it. It's common to transform the data as a part of this process.

What is the process of data warehousing?

Process Flow in Data Warehouse Extract and load the data. Cleaning and transforming the data. Backup and archive the data. Managing queries and directing them to the appropriate data sources.