Discuss the three steps of the ETL process and briefly describe the four categories of ETL technologies

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The ETL (extract, transform, and load) process is a data pipeline that retrieves data from multiple sources and prepares it for analysis. The three steps are:
1. Extract – source data is collected from different sources such as databases or files.
2. Transform – the raw data is then transformed into a format suitable for analysis or loading into a target system.
3. Load – the formatted data is loaded into the target system where it can be used for further analysis or processing in applications like BI tools or reporting systems.

There are four categories of ETL technologies:
1. Data Integration Tools – These tools allow users to integrate disparate data sources by providing transformations, mappings, scheduling capabilities, and more.
2. Database Migration Tools – These tools enable users to move large amounts of structured and unstructured data between different formats, platforms, and vendors within an organization’s IT infrastructure quickly and securely.
3. Data Quality Management Platforms – These platforms provide advanced capabilities like profiling, error detection & correction services, monitoring & alerting notifications to help ensure high quality of master/reference datasets.
4. Business Intelligence Solutions – These solutions provide the necessary resources to unlock business insights through predictive analytics enabled by deep-dive exploratory analyses on integrated datasets from multiple environments.