Speaker: Jane Uyvova, Senior Solutions Architect, MongoDB
In the age of big data, organizations rely on data scientists to provide critical decision support and predictive analysis. Most industries now leverage new kinds of data to innovate, understand their customers, and capture new markets. MongoDB's flexible schema and scalability makes it a natural choice for storing diverse data sets needed to accomplish these tasks.
In this session, we will explore the tools and design patterns available to the data scientist to harness the power of MongoDB for data preparation and enrichment. We will focus on R for advanced analytics utilizing mongolite as well as MongoDB Spark Connector R API.