Data integration overview
Data integration is the combination of technical and business processes that are used to combine data from disparate sources into meaningful and valuable information.
A complete data integration solution delivers trusted data from various sources to support a business-ready data pipeline. Data integration solutions from IBM, including IBM® DataStage® Flow Designer and multi-cloud data integration, offer organizations a scalable data integration platform. The platform allows you to extract data, transform it in any style and load (ETL) it to any system, supporting faster time to value and reduced IT risk. The integrated platform delivers a wide range of data quality capabilities from data profiling, standardization, matching, and enrichment to active data-quality monitoring.
IBM DataStage Flow Designer
IBM DataStage Flow Designer is a web-based UI for DataStage, compared to DataStage Designer, which is a Windows-based thick client. You can use IBM DataStage Flow Designer to create, edit, load, and run DataStage jobs with many benefits compared to DataStage Designer, although you can also use IBM DataStage Flow Designer and DataStage Designer to complement each other.
Multi-cloud data integration
With multi-cloud data integration, you can create and test a job on-premises then run it in a cloud environment, such as an Azure instance, making use of the on-cloud Azure data lake.