About this course:

This course, designed for individuals on the implementation team responsible for inline service development and RTD installation and administration, enables participants to perform tasks required to successfully configure and deploy RTD with their operational applications and leverage its provision of decisions as a service. Participants learn about inline services and the elements that support real-time decisions, including the use of business and filtering rules as well as the role of automated RTD learning and adjustment based on unique transactional interactions. The course covers various aspects of integration between RTD and target applications as well as administrative tasks and tools and the use of the RTD batch framework, preparing participants to engage on RTD deployment projects at all levels of the project lifecycle, from gathering requirements to production rollout and monitoring.

The course introduces the RTD platform and applications, describing their features, functions, capabilities, and architecture. The lesson topics are reinforced with structured hands-on practices during which participants create and deploy a fully functional inline service project from scratch. Participants also perform administrative tasks and use the batch framework to obtain batched decisions, simulate responses, and close the loop with batched learning.

• Simulate the runtime operation of the inline service project
• Evaluate integration options between RTD and target operational applications
• Interpret RTD learning and statistics using real-time model reports
• Use dynamic choices and external rules to manage composite decisions
• Implement and perform batch operations using the batch framework
• Build an inline service project and manage its deployment

Course Objective:

• Integrate using the Java Smart Client and the Web Service Client
• Describe the RTD Decision Framework and predictive analytics
• Build and deploy an inline service project
• Describe RTD platform and applications
• Describe RTD product functionality and key features and capabilities
• Describe RTD architecture
• Explore architecture components and RTD user interfaces
• Describe the lifecycle and implementation methodology of a typical inline service project
• Describe RTD predictive analytics and aspects of its underlying real-time modeling and scoring
• Use dynamic choices and external rules
• Use the Batch Framework to run batch processes and initiate batch learning
• Understand and evaluate integration options between RTD and target operational applications

Audience:

• Business Intelligence Developer
• Technical Administrator
• SOA Architect
• Technical Consultant

Prerequisite:

• Business Intelligence and Analytics
• Service-Oriented Architectures
• Marketing
• Data Warehousing Data Mining