FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -ETL, which stands for extract, transform and load, is a data integration process that combines data from multiple data sources into a single, consistent data store that is loaded into a data warehouse or other target system.

Detailed explanation-2: -Step 1: Extraction In this first step of the ETL process, structured and unstructured data is imported and consolidated into a single repository. Volumes of data can be extracted from a wide range of data sources, including: Existing databases and legacy systems. Cloud, hybrid, and on-premises environments.

Detailed explanation-3: -Database extraction is a process of retrieving data from disparate databases. There are different types of data extraction methods. In most cases, companies extract data to process it further or to transfer it to another repository for storage, such as a data warehouse or a data lake.

Detailed explanation-4: -ETL stands for extract, transform, and load and is a traditionally accepted way for organizations to combine data from multiple systems into a single database, data store, data warehouse, or data lake.

Detailed explanation-5: -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.