RESEARCH & RESOURCES

Available On-Demand - This webinar has been recorded and is now available for download.

Open Source for Predictive Analytics and Data Science: Trends, Opportunities, and Challenges

Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics

Date: Tuesday, December 4, 2018

Time: 9:00 a.m. PT, 12:00 p.m. ET

Webinar Abstract

To use or not to use open source for analytics, that is the question…

Open source has become quite popular, especially for big data and data science, because it is a low-cost source community for innovation, which appeals to many data scientists and analytics application developers. At TDWI, we see increasing interest in open source tools like R, Python, and Spark libraries for advanced analytics.

In fact, the majority of organizations we survey claim that they will be using open source for building predictive models. Vendors are often supporting open source now, so end users can reap the benefits of using both commercial and open source analytics.

Of course, there are advantages and disadvantages to any technology, and open source tools are no exception. Join this TDWI webinar to learn more about the pros and cons of open source for predictive analytics and data science.

You will learn about:

  • Trends in open source analytics
  • Commercial versus open source options for analytics
  • How vendors are supporting open source analytics and helping the two work together

Fern Halper, Ph.D.

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