Ask Us


      

IBM® InfoSphere® DataStage® integrates data across multiple and high volumes of data sources and target applications. 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.
  • • Offers 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.
  • • Languages supported: French, Korean, Chinese (Simplified and Traditional), Spanish, Portuguese-Brazilian, German, Japanese, English, Italian

Features and benefits

IBM® InfoSphere® DataStage® and IBM InfoSphere DataStage for Linux on System z provide these unique capabilities:

  • The powerful ETL solution supports the collection, integration and transformation of large volumes of data, with data structures ranging from simple to highly complex. IBM InfoSphere DataStage manages data arriving in real-time as well as data received 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. By leveraging the parallel processing capabilities of multiprocessor hardware platforms, IBM InfoSphere DataStage Enterprise Edition can scale to satisfy the demands of ever-growing data volumes, stringent real-time requirements, and ever shrinking batch windows.
  • 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. IBM InfoSphere Information Services Director provides a service-oriented architecture (SOA) for publishing data integration logic as shared services that can be reused across the enterprise. These services are capable of simultaneously supporting high-speed, high reliability requirements of transactional processing and the high volume bulk data requirements of batch processing.
  • Advanced maintenance and development enables developers to maximize speed, flexibility and effectiveness in building, deploying, updating and managing their data integration infrastructure. Full data integration reduces the development and maintenance cycle for data integration projects by simplifying administration and maximizing development resources.
  • Complete connectivity between any data source and any application ensures that the most relevant, complete and accurate data is integrated and used by the most popular enterprise application software brands, including SAP, Siebel, Oracle, and PeopleSoft. Flexibility to perform information integration directly on the mainframe. InfoSphere DataStage for Linux on System z, provides:
  • • Ability to leverage existing mainframe resources in order to maximize the value of your IT investments
  • • Scalability, security, manageability and reliability of the mainframe Ability to add mainframe information integration work load without added z/OS operational costs