Modeling Lifecycle with ACME Occupancy Detection and Cloudera

Data science is more than just modeling. The complete data science lifecycle also includes data engineering and model deployment. This project offers a simplified yet credible example of all three elements, as implemented using Apache Spark, the Cloudera Data Science Workbench, and JPMML / OpenScoring.

In this project, the ACME corporation is productionizing a connected-house platform. Part of this service requires predicting the occupancy of a room given sensor readings.

This example project includes simplified examples of:

• Data Engineering
  • Ingest
  • Cleaning
• Data Science
  • Modeling
  • Tuning and evaluation
• Model Serving
  • Model management
  • Testing
  • REST API

Requirements

• Cloudera Data Science Workbench 1.0
• CDH 5.10+ cluster
• Spark 2.1 CSD for CDH
• Apache Maven 3.2+

Get Started

To continue, review documentation for each of the three modules, which contains more information about what it show and how to run it.

• Data Engineering
• Data Science
• Model Serving