Advanced Analytics for IoT Using SAS(R) Event Stream Processing
This course teaches you how to apply advanced analytics techniques to IoT processes. The course addresses analysis of data at rest as well as streaming data. By using the SAS Viya environment with SAS Event Stream Processing, you learn how to deploy your own deep learning models to streaming data.
Virtual Training nebo e-Learning?
Máme dostatečnou flexibilitu, takže vybírat můžete jak prezenční termíny, tak online kurzy.
Zkuste živý kurz virtuálněTarget group
- Data scientists
- data analysts
- IoT project team members
- 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.
Prerequisites
Before attending this course, it is strongly recommended that you attend the SAS Event Stream Processing Essentials course.
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Jsme vám k dispozici na telefonním čísle +420 222 553 101 vždy od pondělí do pátku: 9:00 - 17:00.
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