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Azure Data Factory
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Azure Data Factory Features

What are the features of Azure Data Factory?

Management

  • Reporting
  • Auditing

Functionality

  • Extraction
  • Transformation
  • Loading
  • Automation
  • Scalability

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Management

Reporting

View ETL process data via reports and visualizations like charts and graphs. 41 reviewers of Azure Data Factory have provided feedback on this feature.
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)

Functionality

Extraction

Extract data from the designated source(s) like relational databases, JSON files, and XML files. 43 reviewers of Azure Data Factory have provided feedback on this feature.
91%
(Based on 43 reviews)

Transformation

Based on 43 Azure Data Factory reviews. Cleanse and re-format extracted data to the needed target format.
93%
(Based on 43 reviews)

Loading

As reported in 40 Azure Data Factory reviews. Load reformatted data into target database, data warehouse, or other storage location.
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

Capable of scaling processing power up or down based on ETL volume. This feature was mentioned in 41 Azure Data Factory reviews.
93%
(Based on 41 reviews)
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