Target group
Data scientists, data analysts, IoT project team members, and anyone interested in analyzing event stream data
Course structure
The Internet of Things and Event Stream Processing
- Introduction.
- SAS Event Stream Processing Studio: project and windows.
- IOT data.
- Working with projects in XML.
Training and Scoring Streaming Data
- K-means clustering.
- Streaming text sentiment analysis.
Advanced Analytics
- Why use offline models in-stream?
- How to add an offline model to SAS Event Stream Processing.
- Defining a SAS Micro Analytic Service module input handler.
- SAS Event Stream Processing command-line interactions.
The Python Modeling Interface (Self-Study)
- Load a SAS Event Stream Processing project in Python.
- Considerations when building a SAS Event Stream Processing project in Python.
- Integrating Deep Learning, CAS, Event Stream Processing, and Python.
