Building a Scalable Big Data Machine Learning System with Spark and CDAP
On-Demand Webinar by Russ Savage
In order to provide the most relevant recommendations to their visitors, ecommerce websites regularly rely on recommendation engines, which are complex data applications fueled by data ingestion, data preparation and machinelearning processes. In addition to building machine learning models, recommendation engines require the ingestion and storage of user data in real-time, the training and storing of the models and their results, as well as the monitoring and improvement of the model performance. In this talk, we will discuss and demonstrate how to use the Cask Data Application Platform (CDAP), a unified integration platform for big data, to operationalize Machine Learning models for your ecommerce website by simplifying data collection, testing and continuous improvement.