IBM InfoSphere® Information Server for Data Warehousing provides information integration capabilities for your data warehouse appliance. It helps you understand, profile, cleanse and integrate data from heterogeneous sources to gain faster business insight, at lower cost.
Provides user-friendly tools, integration architecture, full source data analysis and prebuilt connectivity.
Increases confidence in warehouse data
Offers data cleansing and quality monitoring capabilities. Helps you understand both the business context associated with data and the data lineage, to improve governance.
Minimizes total cost of ownership
Helps you build the right data warehouse appliance by providing best practices, data profiling and user-focused tooling that promotes self-service.
User interface modernization and consolidation
IBM DataStage® Flow Designer features automatic schema propagation, highlighted compile errors, type-ahead search and compatibility with any existing DataStage job.
Get automated deployment through Docker and Kubernetes, enabling fast and easy deployment, elastic expansion and reduction of runtime environments.
Improving management and runtime on the data lake
Provide high resilience for running Information Server on Hadoop through measures such as improved high availability, higher precision in container estimation, and queue management for fast and uninterrupted execution.
Platform modernization and simplification
Create data integration flows and enforce data governance and quality rules with a cognitive design that recognizes and suggests usage patterns.
See what's new in IBM InfoSphere Information Server 11.7.1