Transforms data in any style

IBM InfoSphere® Information Server for Data Integration extracts and transforms data in any style and loads it to any system. The result is fast time-to-value. The system provides built-in transformation functions and a common metadata framework that increases efficiencies. It also offers multiple options for delivering data – bulk ETL (extract, transform and load), virtual (federated) and incremental (data replication).

Features

• **User interface modernization and consolidation: **The IBM InfoSphere DataStage® Flow Designer features automatic schema propagation, highlighted compile errors, type-ahead search and backwards capability.
• **Improving management and runtime on the data lake: **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.
• Connectivity enhancement: Automated deployment through Docker/Kubernetes for fast and easy deployment and elastic expansion/reduction of runtime environments.
• **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.

Benefits

• **Delivers big data — better and faster: **Provides a scalable data integration platform. Enables you to outperform Hadoop-only distributions, processes the right workloads with the right tools and delivers data governance using data lineage.
• **Enables cloud initiatives: **Delivers data integration as part of a private or public cloud or integrates on-premises data with a cloud environment.
• **Provisions data quickly: **Enables non-technical users to quickly provision data when and where they need it.
• **Provides a streamlined interface: **Includes an easy-to-use graphical interface that empowers your users across the enterprise.
• **Satisfies complex requirements: **Integrates data on demand across multiple sources and targets and satisfies complex requirements using a powerful scalable runtime environment.
• **Uses native API connectivity: **Invokes native API connectivity and parallelism to integrate with DBMS, big data sources, messaging queues, ERP and other packaged applications, industry formats and mainframe systems.