Webinar: Using R for Advanced Analytics with MongoDB

June 07, 2017

12 PM EDT | 9 AM PDT

In the age of big data, organizations rely on data scientists to provide critical decision support and predictive analysis. Life sciences now leverages new kinds of data to innovate, address unmet medical needs, and capture new markets.

MongoDB’s flexible schema and incredible 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 also discuss R for advanced analytics utilizing MongoDB R connector for data movement.

In this webinar, we will cover:

  • Design your MongoDB schema and utilize the aggregation framework for data preparation and enrichment.
  • Connect R/RStudio to your MongoDB environment. Understand connectors available and be able to choose the right deployment topology for production.
  • Recognize the analytical patterns and apply MongoDB and R together to deliver cutting edge insights in your organization.
  • Learn to communicate the value to both technical and research audiences. Examine use cases such as genome annotation, disease spread via geospatial analysis, drug side-effects monitoring in social media using text analytics, and more.

This webinar will also include a live Q&A session for you to have your questions answered by an expert.

Jane Uyvova: About the speaker

Jane joined the MongoDB team in 2016 from Teradata Aster where she ran a big data practice focusing on advanced analytics problems such as predicting churn, digital marketing attribution and text sentiment analysis.

Jane has over ten years of experience in enterprise software, analytics, and consulting as well as a background in biology and life sciences. She loves solving real-world problems with technology and talking to customers.