Information Technology Reference
In-Depth Information
Chapter 5. Enterprise
Scheduler
Service and Jobs
ERP applications are perceived primarily as transactional systems. Business users
access ERP environments to perform day-to-day business operations. The frontend
UI and backend data structures are geared for this type of daily interaction. This daily
processing during business hours, however, is not the bulk of system processing.
Large amounts of data are processed by applications that have no human interaction.
These tasks include the following activities:
Data aggregation and maintenance
Predefined reporting
Major business-processing periods (such as month-end close)
Many of these tasks can be scheduled to execute at predefined intervals. This
scheduling of jobs is now a common feature in all major ERP applications. We will
review these scheduling engines and the manner in which Oracle Fusion Applications
provides for Enterprise scheduling.
Enterprise schedulers' overview
ERP applications consume transactional data during normal business hours. These
human-based interactions feed data into the underlying systems. Once this data has
been captured, downstream processing needs to be carried out. This processing can
be categorized as follows:
Processing : This implies the processing of data based on predefined busi-
ness rules. This includes data manipulation and summarization.
Reporting : This process helps in generating resource-intensive reports that
require aggregation across large data subsets. It also helps to generate peri-
odic and scheduled reports required for statutory purposes.
Data Exchange : This process is used to transfer data within and outside the
organization. This includes data synchronization processes between systems.
It also includes EDI and other data exchanges outside the organization.
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