Retail Reference Architecture Part 3: Scalable Insight Component Providing User History, Recommendations and Personalization

Retail Reference Architecture Part 3: Scalable Insight Component Providing User History, Recommendations and Personalization

Norman Graham

June 24, 2014

During this session we will cover the best practices for implementing the insight component with MongoDB. This includes efficiently ingesting and managing a large volume of user activity logs, such as clickstreams, views, likes and sales. We'll dive into how you can derive user statistics, product maps and trends using different analytics tools like the aggregation framework, map/reduce or the Hadoop connector. We will also cover operational considerations, including low-latency data ingestion and seamless aggregation queries.

Additionally, to learn more about new retail challenges and how MongoDB addresses them, download the white paper below:

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