Building a Scalable Big Data Machine Learning System with Spark and CDAP
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THE RISE OF THE INTERNET has led to the rise of e-commerce websites.
With the mushrooming of the number of e-commerce sites today there is surge in demand by customers. In order to provide the most relevant recommendations to the visitors, ecommerce websites regularly rely on recommendation engines, which are complex data applications fueled by data ingestion, data preparation and machine learning 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.
This webinar showcases the ways and means 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.
Organizer
ThirdEye Data
