Enterprise Application Integrationby David S. Linthicum
Pub. Date: 11/12/1999
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
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
Table of Contents
1. Defining EAI.
What is EAI?
How Did Things Get This Bad?
Chaos Today, Order Tomorrow.
Evolution of Stovepipes.
Making the Business Case for EAI.
The Virtual System.
Types of EAI.
Middleware and EAI.
2. Data-Level EAI.
Going for the Data.
Data-Level EAI by Example.
Federated Database EAI.
Consider the Data Source.
Other Data Storage Models.
Working with Data-Level EAI.
3. Application Interface-Level EAI.
What’s an API?
Interface by Example.
Approaching Application Interfaces.
The Interface Tradeoff.
Packaged Application Technology Architecture.
Packaged Application APIs.
Rolling Your Own API.
Using Application Interfaces.
4. Method-Level EAI.
What’s a Process?
Leveraging Frameworks for EAI.
The Value of Frameworks.
Application or Transaction Servers.
Sharing Methods to Bind Your Enterprise.
5. User Interface-Level EAI.
Leveraging User Interface-Level EAI.
Going to the User Interface.
Understanding the Application.
Creating the Screen Catalog.
6. The EAI Process—Methodology or Madness?
Applying a Procedure/Methodology.
Step 1: Understanding the Enterprise and Problem Domain.
Step 2: Making Sense of the Data.
Identifying the Data.
Step 3: Making Sense of the Processes.
The Common Business Model.
Leveraging Patterns for Method-Level EAI.
Step 4: Identifying Application Interfaces.
Application Interface Directory.
Step 5: Identifying the Business Events.
Step 6: Identifying the Schema and Content Transformation Scenarios.
Step 7: Mapping Information Movement.
Step 8: Applying Technology.
Step 9: Testing, Testing, Testing.
Step 10: Considering Performance.
Step 11: Defining the Value.
Step 12: Creating Maintenance Procedures.
Method or Madness?
7. An Introduction to EAI and Middleware.
Middleware: The Engine of EAI.
Types of Middleware.
One-to-One versus Many-to-Many.
Synchronous versus Asynchronous.
Connection-Oriented and Connectionless.
Fire and Forget.
8. Transactional Middleware and EAI.
Notion of a Transaction.
XA and X/Open.
Future of Transactional Middleware.
9. RPCs, Messaging, and EAI.
Message-Oriented Middleware (MOM).
Getting the Message.
10. Distributed Objects and EAI.
What’s So Difficult?
What’s So Easy?
What’s a Distributed Object?
The General Idea.
Moving to DCOM.
11. Database-Oriented Middleware and EAI.
What’s Database-Oriented Middleware?
Types of Database-Oriented Middleware.
Ready for Prime Time.
12. Java Middleware and EAI.
Categories of Java Middleware Standards.
The Future of Java and Middleware.
13. Implementing and Integrating Packaged Applications—The General Idea.
Why Packaged Applications?
Installing Packaged Applications.
Architectures Drive Success.
Testing What Has Already Been Tested.
Implementing Specific Packages.
Packaged Application Tools.
Web-Enabled Selling and EAI.
Integrating the Supply Chain.
Applying EAI to Packaged Applications.
Our Packaged Future.
14. Integrating SAP R/3.
The Basic Problem.
The SAPPresentation Layer.
The SAPApplication Server Layer.
The SAPDatabase Layer.
Using the Repository.
SAP and EAI.
15. Integrating Peoplesoft.
SQRs and Moving Data.
Workflow and Moving Data.
16. Supply Chain Integration: Inter-Enterprise Application Integration.
Defining Your Supply Chain.
Extending EAI outside the Enterprise.
Binding the Home System to a Stranger’s.
Supply Chain Technology.
ERPs and the Supply Chain.
Supply Chains Organize.
17. XML and EAI.
The Rise of XML.
XML and Middleware.
RDF and EAI.
XSL and EAI.
XML and EAI.
18. Message Brokers—The Preferred EAI Engine.
Integration, not Perspiration.
Why a New Direction?
Considering the Source (and Target).
Message Translation Layer.
Graphical User Interface.
Static and Dynamic Adapters.
Using an API.
The Future of EAI and Brokers.
19. Process Automation and EAI.
What is Process Automation?
Process Automation and EAILevels.
Implementing Process Automation.
Tools and Approaches.
Process Automation and EAI.
20. EAI Moving Forward.
Problem Domains Change.
Moving from Intra- to Inter-Enterprise Application Integration.
Moving from Data-Level to Application-Level Integration.
Technologies Join Forces.
Importance of the Architecture.
Importance of Application Design.
EAI and the Modern Enterprise.
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