InfoSphere DataStage: Parallel Framework Standard Practices

Data Integration with Information Server and DataStage

Overview

In this chapter we discuss and describe the concepts, education, and services that are available to help you get started with your data integration activities. Information integration is the process of integrating and transforming data and content to deliver authoritative, consistent, timely and complete information, and governing its quality throughout its life cycle. Core to those activities is the InfoSphere Information Server platform, and InfoSphere DataStage (DS).

IBM InfoSphere Information Server is a software platform that helps organizations derive more value from the complex, heterogeneous information spread across their systems. It provides breakthrough collaboration, productivity, and performance for cleansing, transforming, and moving this information consistently and securely throughout the enterprise. It can then be accessed and used in new ways to drive innovation, increase operational efficiency, and lower risk

IBM InfoSphere DataStage integrates data across multiple and high volumes data sources and target applications. It integrates data on demand with a high performance parallel framework, extended metadata management, and enterprise connectivity. DataStage supports the collection, integration, and transformation of large volumes of data, with data structures ranging from simple to highly complex.

DataStage can manage data arriving in real-time as well as data received on a periodic or scheduled basis. This enables companies to solve large-scale business problems through high-performance processing of massive data volumes. By making use of 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.

Along with these key components, establishing consistent development standards helps to improve developer productivity and reduce ongoing maintenance costs. Development standards can also make it easier to integrate external processes (such as automated auditing and reporting) and to build technical and support documentation.

With these components and a great set of standard practices, you are on your way to a highly successful data integration effort. To help you further along the way, this book also provides a brief overview of a number of services and education offerings by IBM.

 

 

 

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