Data Stage and Data Refinery¶

With the DataStage data integration tool, data engineers can design and run complex ETL data pipelines that move and transform data between operational, transactional, and analytical target systems. Data integration specialists use DataStage to develop flows that process and transform data. DataStage has capabilities that allow connecting directly to enterprise applications, cloud data sources, relational and NoSQL systems, REST endpoints, and more. You can administer, manage, deploy, and reuse these flows to integrate data across many systems throughout your organization.

For more information check out the official documentation.

Data Refinery involves transforming raw data into clean, structured information for analysis and decision-making. It includes data collection, cleansing, integration, enrichment, and validation. Data is gathered from various sources, cleaned to remove errors, and integrated into a unified format. Enrichment adds additional context and attributes. Validation ensures data quality. Data refinery unlocks the value of data, enabling informed decisions and actionable insights.

For more information check out the official documentation.

Refine your data in Data Refinery official documentation.