This course is for data stewards, data analysts, and data scientists who need to analyze and transform streaming data while it is still in motion. In the world of IoT (Internet of Things), organizations can build SAS Event Stream Processing applications that ingest and analyze high-volume and high-velocity data streams, respond in real time, and store only relevant data elements.
Learn how to
- understand the architecture of SAS Event Stream Processing
- design and write SAS Event Stream Processing models
- build applications that use the SAS Event Stream Processing engine
- use SAS Event Stream Processing connectors, adapters, and the publish/subscribe APIs to read data from, and write data to, various event stream formats
- understand the concepts behind event stream processing transformations
- understand the analytical capabilities in SAS that you can use to process the results from SAS Event Stream Processing.
Who should attend
Data stewards, data analysts, and data scientists
Familiarity with XML and familiarity with the Unix/Linux command line interface is required.
This course addresses SAS Data Quality Solution, SAS Analytics Platform software.
