DataStage

IBM® InfoSphere® DataStage is a part of Information Server and integrates data on demand across many systems via a high performance framework, extended metadata management, and enterprise connectivity.

What Does It Do?

  • It integrates data on demand with a high performance parallel framework, extended metadata management, and enterprise connectivity.
  • Supports the collection, integration and transformation of large volumes of data, with data structures ranging from simple to highly complex.
  • Provides support for big data and Hadoop, enabling users to directly access big data on a distributed file system, thereby helping you address the most challenging data volumes in your business
  • Provides an operations console, an interactive debugger for parallel jobs, and support for balanced optimization, to help users work smarter, enhance productivity and accelerate problem resolution.
  • Offers a scalable platform that enables companies to solve large-scale business problems through high-performance processing of massive data volumes
  • Supports real-time data integration.
  • Enables developers to maximize speed, flexibility and effectiveness in building, deploying, updating and managing their data integration infrastructure.
  • Completes connectivity between any data source and any application.

Why Is That Useful?

  • Deliver the high quality data required for success in a range of enterprise initiatives including business intelligence, legacy consolidation and master data management
  • The powerful ETL solution supports the collection, integration and transformation of large volumes of data, with data structures ranging from simple to highly complex in real time, or on a periodic or scheduled basis.
  • The scalable platform enables companies to solve large-scale business problems through high-performance processing of massive data volumes.
  • Comprehensive source and target support for a virtually unlimited number of heterogeneous data sources and targets in a single job includes text files; complex data structures in XML; ERP systems such as SAP and PeopleSoft; almost any database (including partitioned databases); web services; and business intelligence tools like SAS.
  • Real-time data integration support operates in real-time. It captures messages from Message Oriented Middleware (MOM) queues using JMS or WebSphere MQ adapters to seamlessly combine data into conforming operational and historical analysis perspectives.
  • Advanced maintenance and development capabilities enable developers to maximize speed, flexibility and effectiveness in building, deploying, updating and managing their data integration infrastructure.