Vitria OI Analytics

Course Description: This course teaches you the basic concepts of Streaming Analytics, also known as Complex Event Processing (CEP). Streaming Analytics enables a wide array of powerful analytical capabilities that include in-time event capture, detection, filtering, pattern matching, aggregation, predictive analytics, trending, forecasting, multi-dimensional and what-if analysis, and correlation of real-time information and historical data. This course consists of many hands-on labs and works through several complex examples.

Course Objectives: Upon successful completion of this course, the student should be able to:

  • Describe the advantages of using XML and XQuery for querying event streams
  • Describe StreamXQuery® which is Vitria’s implementation of the XQuery language in the Vitria OI analytic engine
  • Model Event Processing Networks which includes configuring Feed components and Query components using the Query Block editor
  • Use StreamXQuery windows and StreamXQuery functions
  • Debug EPNs
  • Enrich queries with data from a database
  • Create Live Collections and Time-based Collections
  • Create and use Named Windows
  • Use the Dynamic Analytics SDK (DASDK) API to configure and administer instances of EPN templates

Target Audience: 

  • Architect
  • Developers
  • Business Process Designers
  • Analysts

Prerequisites: Vitria OI Introduction and Vitria OI Streams
Course Length: 3 Days

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