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
