By Data Fetcher
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Reporting
View ETL process data via reports and visualizations like charts and graphs.
Auditing
Record ETL historical data for auditing and potential data correction needs.
Extraction
Extract data from the designated source(s) like relational databases, JSON files, and XML files.
Transformation
Cleanse and re-format extracted data to the needed target format.
Loading
Load reformatted data into target database, data warehouse, or other storage location.
Automation
Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).
Scalability
Capable of scaling processing power up or down based on ETL volume.