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Data Warehousing and Data Mining




                    notes          3.   Assists in formation of Zero Latency Enterprise - when all functions within the organization
                                       work with the same up-to-data information, latency between applications is eliminated/
                                       reduced.
                                   4.   Updating and integrating of applications is possible whenever required. New applications
                                       can be created by integrating real time data from different parts of the enterprise.
                                   5.   Assists in rapid business process change.
                                   6.   Enables creation of virtual corporations with virtual supply chains and operations through
                                       sharing of data beyond the organization.
                                   7.   Makes possible for legacy or proprietary systems to function on web.
                                   8.   Enhancements to standard applications can be made rapidly.

                                   6.4 eai functioning

                                   The EAI solution works at both data level and business process level and assists in sharing data of
                                   different applications. This sharing of data involves different types business process depending
                                   on the type of data sharing involved.
                                   The various logical steps for data sharing are as given below:

                                   1.   Unload raw data from source database
                                   2.   Validate raw data against source business model
                                   3.   Transform source business model data into target business data
                                   4.   Validate business data against target business model
                                   5.   Load data into Target database

                                   The various integration processes are as follows:
                                   1.   Data to data
                                   2.   Business model to business model
                                   3.   Business model to data model

                                   4.   Data model to business model
                                   6.5 source integration


                                   A  clear  trend  is  the  movement  away  from  information-oriented  to  service-based  integration.
                                   Information-oriented integration provides an inexpensive mechanism to integrate applications
                                   because, in most instances, there is no need to change the applications.
                                   While  information-oriented  integration  provides  a  functional  solution  for  many  application
                                   integration problem domains, it is the integration of both application services and application
                                   methods that generally provides more value in the long run.

                                          Example:  A  trading  community  looking  to  automate  the  processing  of  ordering  raw
                                   materials may find that simply sharing information (order goes out, and confirmation comes in)
                                   is just fine to solve their integration problem. However, in another trading community, there may
                                   be a need to access remote services, such as the calculation of duty for intercountry trades. Again,
                                   you have to leverage the right approach for the business problem you are looking to solve.







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