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Reporting | Based on 41 Azure Data Factory reviews. View ETL process data via reports and visualizations like charts and graphs. | 85% (Based on 41 reviews) | |
Auditing | Record ETL historical data for auditing and potential data correction needs. 40 reviewers of Azure Data Factory have provided feedback on this feature. | 85% (Based on 40 reviews) |
Extraction | Based on 43 Azure Data Factory reviews. Extract data from the designated source(s) like relational databases, JSON files, and XML files. | 91% (Based on 43 reviews) | |
Transformation | Cleanse and re-format extracted data to the needed target format. This feature was mentioned in 43 Azure Data Factory reviews. | 93% (Based on 43 reviews) | |
Loading | Load reformatted data into target database, data warehouse, or other storage location. 40 reviewers of Azure Data Factory have provided feedback on this feature. | 94% (Based on 40 reviews) | |
Automation | Based on 43 Azure Data Factory reviews. Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly). | 92% (Based on 43 reviews) | |
Scalability | As reported in 41 Azure Data Factory reviews. Capable of scaling processing power up or down based on ETL volume. | 93% (Based on 41 reviews) |