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In this topic, we will discuss Enterprise Application Integration.

An organization may use various information systems −

• Supply Chain Management − For managing suppliers, inventory and shipping, etc.
• Human Resource Management − For managing personnel, training and recruiting talents;
• Employee Health Care − For managing medical records and insurance details of employees;
• Customer Relationship Management − For managing current and potential customers;
• Business Intelligence Applications − For finding the patterns from existing data from business operations.

All these systems work as individual islands of automation. Most often these systems are standalone and do not communicate with each other due to incompatibility issues such as −

• Operating systems they are residing on;
• Database system used in the system;
• Legacy systems not supported anymore.

EAI is an integration framework, a middleware, made of a collection of technologies and services that allows smooth integration of all such systems and applications throughout the enterprise and enables data sharing and more automation of business processes.

Characteristics of EAI

• Enterprise Application Integration (EAI) is defined as “the unrestricted sharing of data and business processes among any connected applications and data sources in the enterprise.”
• EAI, when used effectively allows integration without any major changes to current infrastructure.
• Extends middleware capabilities to cope with application integration.
• Uses application logic layers of different middleware systems as building blocks.
• Keeps track of information related to the operations of the enterprise e.g. Inventory, sales ledger and execute the core processes that create and manipulate this information.

Need for Enterprise-wise Integration

• Unrestricted sharing of data and business processes across an organization.
• Linkage between customers, suppliers and regulators.
• The linking of data, business processes and applications to automate business processes.
• Ensure consistent qualities of service (security, reliability etc.).
• Reduce the on-going cost of maintenance and reduce the cost of rolling out new systems.

Challenges of EAI

• Hub and spoke architecture concentrates all of the processing into a single server/cluster.
• Often became hard to maintain and evolve efficiently.
• Hard to extend to integrate 3rd parties on other technology platforms.
• The canonical data model introduces an intermediary step.
• Added complexity and additional processing effort.
• EAI products typified.
• Heavy customization required to implement the solution.
• Lock-In − Often built using proprietary technology and required specialist skills.
• Lack of flexibility − Hard to extend or to integrate with other EAI products!
• Requires organization to be EAI ready.

Types of EAI

• Data Level − Process, techniques and technology of moving data between data stores.
• Application Interface Level − Leveraging of interfaces exposed by custom or packaged applications.
• Method Level − Sharing of the business logic.
• User Interface Level − Packaging applications by using their user interface as a common point of integration.

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