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IBM InfoSphere Rapid Deployment Package (RDP) for MDM provides a rapid deployment approach to implementing MDM solutions that provide immediate return on investment. It provides a seamless upgrade path to IBM InfoSphere MDM Server which provides the complete range of MDM functionally in the market today. In this IBM® Redbooks® publication, we use a simple financial services MDM scenario to describe in detail the RDP for MDM offering and show how it can deliver a return on investment in a short timeframe using a phased approach that ensures minimal risk.

IBM Information Server is a revolutionary new software platform that helps organizations derive more value from the complex heterogeneous information that is spread across their systems. It enables organizations to integrate disparate data and deliver trusted information wherever and whenever needed, in line and in context, to specific people, applications, and processes. IBM WebSphere Information Analyzer is a data profiling and analysis tool that is a critical component of IBM Information Server. It is designed to help business and data analysts understand the content, quality, and structure of their data sources by automating the data discovery process. Bundled with IBM WebSphere Information Analyzer is AuditStage, a data rule monitoring tool that is designed to help business and data analysts validate data and assess ongoing data quality trends. This book describes a usage scenario that covers all dimensions of profiling, rule building, deployment, and quality monitoring through a data integration life cycle.

IBM® WebSphere® DataPower® SOA Appliances are purpose-built network devices that offer a wide variety of functionality such as the securing and management of SOA Applications, enterprise service bus integration, and high speed XSL execution. A hardened appliance, DataPower provides robust security features including tamper protection of the device itself. This IBM Redbooks publication was written for application architects and other consultants who want to include DataPower appliances in their solutions for reasons of speed, security, or ESB integration. The topics include DataPower services, Web services, security, and integration strategies.

The IBM InfoSphere Information Server and the IBM Blade/GRID offering is a revolutionary new software/hardware platform (leveraging Linux on Intel) that helps organizations derive more value from the complex heterogeneous information spread across their systems. It enables organizations to integrate disparate data and deliver trusted information wherever and whenever needed, in line and in context, to specific people, applications, and processes. This IBM Redbooks publication describes a scenario for migrating an existing InfoSphere Information Server parallel framework implementation on a Red Hat Enterprise Linux AS 4 platform to a high availability grid environment involving four machines comprising one conductor node and three compute nodes. The high availability environment involves one of the three compute nodes serving as a standby conductor node that takes over the conductor role when the original conductor fails. The steps involved in migrating the existing infrastructure to the high availability grid infrastructure and enabling existing IBM WebSphere DataStage, IBM WebSphere QualityStage, and IBM WebSphere Information Analyzer jobs to exploit the grid environment are described here.

IBM Information Server is a revolutionary new software platform that helps organizations derive more value from the complex heterogeneous information spread across their systems. It enables organizations to integrate disparate data and deliver trusted information wherever and whenever needed, in line and in context, to specific people, applications, and processes. IBM InfoSphere™ DataStage® is a critical component of the IBM Information Server, and the parallel framework of IBM InfoSphere DataStage is also the foundation for IBM InfoSphere QualityStage and IBM InfoSphere Information Analyzer components. This IBM® Redbooks® publication develops usage scenarios that describe the implementation of IBM InfoSphere DataStage flow and job design with special emphasis on the new features such as the distributed transaction stage (DTS) in Version 8.0.1, slowly changing dimensions stage ( Version 8.0.1), complex flat file stage (Version 8.0.1), and access to mainframe data.

IBM WebSphere QualityStage provides data cleansing capabilities to help ensure quality and consistency by standardizing, validating, matching, and merging information to create comprehensive and authoritative information for multiple uses. IBM Information Server is a revolutionary software platform that helps organizations derive more value from the complex heterogeneous information that is spread across their systems. It enables organizations to integrate disparate data and deliver trusted information wherever and whenever needed, in line and in context, to specific people, applications, and processes. This IBM Redbooks publication documents the procedures for implementing IBM WebSphere QualityStage and related technologies using a typical merger and acquisition financial services business scenario. The scenario covers all dimensions of data cleansing, standardization, and matching rules, job design and deployment through a data integration life cycle. The book offers a step-by-step approach to implementing IBM WebSphere QualityStage on Red Hat Enterprise Linux 4.0 platform accessing information that is stored on IBM z/OS and IBM AIX platforms. If you are an IT architect, Information Management specialist, or Information Integration specialist who is responsible for developing IBM WebSphere QualityStage on a Red Hat Enterprise Linux 4.0 platform, you will find the information in this book helpful.

In this IBM Redbook we describe and demonstrate dimensional data modeling techniques and technology, specifically focused on business intelligence and data warehousing. It is to help the reader understand how to design, maintain, and use a dimensional model for data warehousing that can provide the data access and performance required for business intelligence. Business intelligence is comprised of a data warehousing infrastructure, and a query, analysis, and reporting environment. Here we focus on the data warehousing infrastructure. But only a specific element of it, the data model - which we consider the base building block of the data warehouse. Or, more precisely, the topic of data modeling and its impact on the business and business applications. The objective is not to provide a treatise on dimensional modeling techniques, but to focus at a more practical level. There is technical content for designing and maintaining such an environment, but also business content. For example, we use case studies to demonstrate how dimensional modeling can impact the business intelligence requirements for your business initiatives. In addition, we provide a detailed discussion on the query aspects of BI and data modeling. For example, we discuss query optimization and how you can determine performance of the data model prior to implementation. You need a solid base for your data warehousing infrastructure . . . . a solid data model.

This IBM Redbooks publication provides an overview of IBM Information Server, its architecture, and processing flow. It describes the development and implementation of a financial services business scenario that showcases the Service Oriented Architecture (SOA) capabilities of the IBM Information Server product and WebSphere Integration Developer. It includes details on how a DataStage job, QualityStage job, Federated queries, and DB2 Stored Procedures can be surfaced as an SOA service. It describes the development of applications that consume the services generated by IBM Information Server and WebSphere Integration Developer using Rational Application Developer and Microsoft Visual Studio .NET Professional Edition. It is aimed at an audience of IT architects, Information Management specialists, and Information Integration specialists.

This IBM Redbooks publication provides an overview of IBM Information Server, its architecture, and processing flow. It describes the development and implementation of a financial services business scenario that showcases the Service Oriented Architecture (SOA) capabilities of the IBM Information Server product and WebSphere Integration Developer. It includes details on how a DataStage job, QualityStage job, Federated queries, and DB2 Stored Procedures can be surfaced as an SOA service. It describes the development of applications that consume the services generated by IBM Information Server and WebSphere Integration Developer using Rational Application Developer and Microsoft Visual Studio .NET Professional Edition. It is aimed at an audience of IT architects, Information Management specialists, and Information Integration specialists.

Having more, and more current, information is fast becoming a requirement for business survival. The need permeates the enterprise because it enables proactive decision-making for problem avoidance, rather than reactive problem impact minimization. And that is the key. Thus the need for, and focus on, is real-time. Companies no longer have the long strategic time-frames in which to plan, design, and manage their business processes. Yearly revenue goals and measurements are fast becoming quarterly goals and measurements. Investors and share-holders are more demanding. They are more critical, and less forgiving, of missed performance goals. And these demands are coming at a time when the volume of data is growing, there is an increase in business mergers and acquisitions, the use of strategic outsourcing is growing, and there is an increasing requirement for faster and faster turnaround on information requests. This has put an enormous burden on the information technology (IT) organizations. And most of this change is centered around business intelligence, because that is the environment responsible for providing information for management decision-making. This IBM Redbook explores the techniques and capabilities for evolving to a real-time enterprise. It also demonstrates approaches for that evolution and provides examples to help guide you in developing your strategy and implementation methodology to become a real-time enterprise.