This SAS Event Stream Processing training course teaches to build SAS Event Stream Processing applications that ingest high-volume and high-velocity data streams, respond in real time, and store only relevant data elements. The course covers basic concepts of event stream processing and introduces the component objects with which to build event stream processing applications.
By attending SAS Event Stream Processing workshop, delegates will learn to:
- Describe the architecture of SAS Event Stream Processing.
- Develop and test SAS Event Stream Processing applications using the XML interface as well as the SAS Event Stream Processing Studio interface.
- Execute SAS Event Stream Processing applications from a command line interface.
- Use SAS Event Stream Processing connectors and adapters to read data from, and write data to, various event stream formats.
- Explain the concepts behind SAS Event Stream Processing transformations.
- Use the transformations to ingest, filter, join, and aggregate event streams.
- Use additional transformations to execute external routines in Python and DS2 against event streams and to detect patterns and anomalies in event streams.
- Discuss performance optimizations.
- Use SAS Event Stream Manager to deploy and monitor SAS Event Stream Processing applications into non-production and production environments.
- Familiarity with XML and familiarity with the UNIX/Linux command line interface are required.
The SAS Event Stream Processing class is ideal for:
- Developers and architects who design and create applications that process IoT (Internet of Things) streams in real time, operators who manage IoT project deployments, and data scientists and analysts who need to gain insights from streaming data while it is in motion.