Description
- An short introduction to building streaming analytics applications with Spotfire® Streaming, Spotfire® Streaming Artifact Management Server, Spotfire® Enterprise Runtime for R, Spotfire® Live Datamart, and Spotfire LiveView™ Web
- This course is designed to take about 3.25 hours to complete
- This is a set of presentation slide decks and hands-on lab exercises that supports a live instructor-based class. The decks may also be read on their own, and the labs can be done on their own as well.
- This course assumes no prior familiarity with Streaming Analytics, Event Processing, or StreamBase; rather it intends to present information to allow the user to build a System of Insight using StreamBase 10.
- This material created and tested using StreamBase 10.2.1, Artifact Management Server 1.2.1, TERR 4.4.0, Live Datamart 10.2.1 and LiveView Web 1.3.2.
Prerequisites
Knowledge of computer programming in some high-level language, such as Python or Java
Tutorial Outline and Materials
|
Unit |
Presentation |
Hands-On Lab Steps |
Lab Files |
|---|---|---|---|
| TIBCO Streaming Analytics Architecture Overview |
|
||
| StreamBase Studio and EventFlow Basics |
|
|
FullDataSetFile.csv (download the zip and then extract the .csv from the zip file) |
| Basic EventFlow Operators |
|
|
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| Deploying Predictive Models with AMS |
|
|
Suptest_V83.RData ChurnModel.pmml |
| Live Datamart and LiveView Web |
|
|
StartOfLDMLab.zip StartOfLDM_PMML.zip |
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Attachments
Download from Resources.
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