Manage your ETL project smoothly

Combining and reconciling data from disparate systems requires a delicate process most data professionals know as ETL (extract, transform, and load). As the name suggests, data is extracted from source systems, standardized, or cleansed to match the destination system, and then loaded into that new system.

Typically an IT-driven process, ETL can quickly become a business nightmare if not managed appropriately. That’s why our solution empowers business users and IT to work together when transforming data, ensuring that the new system is set up with business needs in mind.

How we can help with ETL

Connect to data sources

Streamline the JDBC configuration stage with high-performance database drivers.

  • Receive maximum performance with JDBC 4.0 supported connectors
  • Connect to extract and load systems quickly with more than 15 built-in drivers, including Amazon Redshift, MySQL, Oracle, Salesforce, and more!

Perform data discovery

Drag-and-drop or load structured data files for instant insight .

  • Profile your data against more than 200 built-in metadata attributes
  • Identify errors in your data, such as duplicates, null values, or other anomalies

Cleanse and standardize data

Investigate faults to determine root causes.
  • Standardize and transform your data to match target system requirements
  • Use the rule builder to design your own business-specific rules

Transform with confidence

Collaborate and share error reports with other users.

  • Ensure that data is only accessible to the right people with role-based permissions
  • Review past data transformations with automatic audit trails

Learn more

Learn how Experian Data Quality can work as your strategic data quality partner.

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