New Approach To Building Big Data Apps: Product Recommendations, Fast Data & ML

Fast big data is the next wave in big data. New use cases that require faster insight and action by analyzing data in motion before it lands in a data lake are emerging every day. Big data is a big part of how modern retail works. One use case is Product Recommendation apps using machine learning and fast data analytics.

DataTorrent, a leader in building fast big data apps is teaming with Mindstix Software Labs, experts in big data retail solution delivery, to present a real-life use case and demo that features the latest in fast analytics, data science, and machine learning for retail applications that delivers real-time product and services recommendations.

DataTorrent is redefining how to build and deploy big data apps with a focus on data-in-motion analytics, enterprise-ready and fast time to value. We work across all industries to help organizations get in front of fast big data to achieve their business outcomes.

Presenters:
Nathan Trueblood, DataTorrent, VP Product Management
Kanad Dixit, Mindstix Labs, VP Data Science

Please register for the webinar at: http://bit.ly/2BTfgKx

After registering, you will receive a confirmation email containing information about joining the webinar.

Reduce time to market and total cost of ownership with DataTorrent's AppFactory -
www.datatorrent.com/appfactory

Brought to you by DataTorrent - www.datatorrent.com