What is etl and it works, architecture, connectivity

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ETL stands for Extract, Transform, Load. It is a process of extracting data from various sources, transforming it, and loading it into a target database or data warehouse.

ETL is used to integrate data from multiple sources into a single, consistent format.
The Extract phase involves retrieving data from source systems such as databases, files, or APIs.
The Transform phase involves cleaning, filtering, and manipulating the extracted data to meet the requirements of the target system.
The Load phase involves loading the transformed data into the target database or data warehouse.
ETL architecture typically consists of source systems, ETL tools, transformation rules, and target systems.
Connectivity in ETL refers to the ability to establish connections between source systems, ETL tools, and target systems.
ETL tools like Datastage provide connectors and adapters to establish connectivity with various data sources and targets.
For example, in a healthcare setting, ETL can be used to extract patient data from electronic health records, transform it into a standardized format, and load it into a data warehouse for analysis.

What is etl and it works, architecture, connectivity

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