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Developing Rule Solutions in IBM Operational Decision Manager V8.9.2
An updated version of this course is available. For more information, click Developing Rule Solutions in IBM Operational Decision Manager V8.10 (ZB404G).
This course is also available as classroom course Developing Rule Solutions in IBM Operational Decision Manager V8.9.2 (WB402G).
This course introduces developers to IBM Operational Decision Manager V8.9.2. It teaches you the concepts and skills that you need to design, develop, and integrate a business rule solution with Operational Decision Manager.
The course begins with an overview of Operational Decision Manager, which is composed of two main environments: Decision Server for technical users and Decision Center for business users. The course outlines the collaboration between development and business teams during project development.
Through instructor-led presentations and hands-on lab exercises, you learn about the core features of Decision Server, which is the primary working environment for developers. You design decision services and work with the object models that are required to author and execute rule artifacts. You gain experience with deployment and execution, and work extensively with Rule Execution Server. In addition, you become familiar with rule authoring so that you can support business users to set up and customize the rule authoring and validation environments. You also learn how to use Operational Decision Manager features to support decision governance.
The lab environment for this course uses Windows Server 2012 R2 Standard Edition.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. http://www.ibm.com/training/terms
For information about other related courses, see the IBM Training website:
- Describe the benefits of implementing a decision management solution with Operational Decision Manager
- Identify the key user roles that are involved in designing and developing a decision management solution, and the tasks that are associated with each role
- Describe the development process of building a business rule application and the collaboration between business and development teams
- Set up and customize the Business Object Model (BOM) and vocabulary for rule authoring
- Implement the Execution Object Model (XOM) that enables rule execution
- Orchestrate rule execution through ruleflows
- Author rule artifacts to implement business policies
- Debug business rule applications to ensure that the implemented business logic is error-free
- Set up and customize testing and simulation for business users
- Package and deploy decision services to test and production environments
- Integrate decision services for managed execution within an enterprise environment
- Monitor and audit execution of decision services
- Work with Operational Decision Manager features that support decision governance
This course is designed for application developers.
- Experience with the Java programming language and object-oriented concepts
- Knowledge of Java Platform, Enterprise Edition (Java EE)
- Basic knowledge of Extensible Markup Language (XML)
- Basic knowledge of the REST API and RESTful architecture
Introducing IBM Operational Decision Manager
Exercise: Operational Decision Manager in action
Developing decision services
Exercise: Setting up decision services
Programming with business rules
Developing object models
Exercise: Working with the BOM
Orchestrating ruleset execution
Exercise: Working with ruleflows
Exercise: Exploring action rules
Exercise: Authoring action rules
Exercise: Authoring decision tables
Customizing rule vocabulary with categories and domains
Exercise: Working with static domains
Exercise: Working with dynamic domains
Working with queries
Exercise: Working with queries
Exercise: Executing rules locally
Exercise: Debugging a ruleset
Enabling tests and simulations
Exercise: Enabling rule validation
Exercise: Managing deployment
Exercise: Using Build Command to build RuleApps
Executing rules with Rule Execution Server
Exercise: Exploring the Rule Execution Server console
Auditing and monitoring ruleset execution
Exercise: Auditing ruleset execution through Decision Warehouse
Working with the REST API
Exercise: Executing rules as a hosted transparent decision service (HTDS)
Introducing decision governance
- Duration: 32 Hours
- Delivery Format: Classroom Training, Online Training
- Price: 3,260.00 USD
- Duration: 40 Hours
- Delivery Format: Classroom Training, Online Training
- Price: 4,075.00 USD
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
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Self-Paced Training Terms & Conditions
THIS IS A SELF-PACED VIRTUAL CLASS. AFTER YOU REGISTER, YOU HAVE 30 DAYS TO COMPLETE THE COURSE.
This is a Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please enroll in the Instructor-Led version instead. Minimal technical support is provided to address issues with accessing the platform or problems within the lab environment.
Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.
After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. A confirmation email will contain your online link, your ID and password, and additional instructions for starting the course.
You can start the course at any time within 12 months of enrolling for the course. After you register/start the course, you have 30 days to complete your course. Within this 30 days, the self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.
If the course requires a remote lab system, the lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system.
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