This course is for data stewards, data analysts, and data scientists who need to analyze and transform high-velocity data streams while still in motion, before it is stored. In a world of IoT (Internet of Things) organizations can build SAS Event Stream Processing applications that ingest high-volume and high-velocity data streams, analyze and 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 utilizing SAS Event Stream Processing engine
- use SAS Event Stream Processing connectors, adapters, and the publish/subscribe APIs to read data from source event streams
- understand the concepts behind event stream processing transformations
- understand SAS' analytical capabilities to process the results from SAS Event Stream Processing.
Who should attend
Data Stewards, Data Analysts, and Data Scientists
Familiarity/comfort with XML and Unix/Linux command line interface.
This course addresses SAS Data Quality Solution, SAS Analytics Platform software.
