Organizations that are able to integrate their applications and data sources have a distinct competitive advantage: strategic utilization of company data and technology for greater efficiency and profit. But IT managers attempting integration face daunting challenges--disparate legacy systems; a hodgepodge of hardware, operating systems, and networking technology; proprietary packaged applications; and more. Enterprise Application Integration (EAI) offers a solution to this increasingly urgent business need. It encompasses technologies that enable business processes and data to speak to one another across applications, integrating many individual systems into a seamless whole. Enterprise Application Integration provides a comprehensive examination of EAI. You will find an overview of EAI goals and approaches, a review of the technologies that support it, and a roadmap to implementing an EAI solution. You will also find an in-depth explanation of the four major types of EAI: data-level, application interface-level, method-level, and user interface-level. The book describes in detail the middleware models and technologies that support these different approaches, including: *Application servers, including the use of Enterprise JavaBeans (EJB) and ActiveX *Message-oriented middleware (MOM) and remote procedure calls (RPCs) *Distributed objects, looking at CORBA and COM *Database-oriented middleware and standards, including ODBC, JDBC, and OLE DB *Java middleware standards *Message brokers *New process automation and workflow technology This practical guide to implementing an EAI solution leads you through all the major steps, including identifying sources of data, building the enterprise metadata model, process integration, identifying application interfaces, mapping information movement, selecting and applying the technologies, testing, and maintenance. Other key topics include integrating packaged applications such as SAP R/3 and PeopleSoft, integrating the supply chain using EAI, the role of XML, and process automation. Comprehensive, practical, and clearly written, this essential resource will help anyone involved in this important business area understand the nature of EAI, its tools and techniques, and how to apply it for a significant business advantage. 0201615835B04062001
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David S. Linthicum is an internationally known distributed-computing and application integration expert who speaks at popular technical conferences throughout the United States. He has almost twenty years of experience in the integration-technology industry, most recently as CTO of Mercator Software, Inc. Before joining Mercator, David was the CTO of SAGA Software, and also held senior-level management positions at Electronic Data Systems, AT&T Solutions, and Ernst & Young LLP. He has consulted for hundreds of major corporations engaged in systems analysis, design, and development, with a concentration in complex distributed systems. This is David's third book on application integration.
Organizations that are able to integrate their applications and data sources have a distinct competitive advantage: strategic utilization of company data and technology for greater efficiency and profit. But IT managers attempting integration face daunting challenges--disparate legacy systems; a hodgepodge of hardware, operating systems, and networking technology; proprietary packaged applications; and more.
Enterprise Application Integration (EAI) offers a solution to this increasingly urgent business need. It encompasses technologies that enable business processes and data to speak to one another across applications, integrating many individual systems into a seamless whole.
Enterprise Application Integration provides a comprehensive examination of EAI. You will find an overview of EAI goals and approaches, a review of the technologies that support it, and a roadmap to implementing an EAI solution. You will also find an in-depth explanation of the four major types of EAI: data-level, application interface-level, method-level, and user interface-level. The book describes in detail the middleware models and technologies that support these different approaches, including:
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