Driving enterprise open source adoption, from data lake to AI (sponsored by Teradata)
It is no surprise that reducing operational IT expenditures and increasing software capabilities is a top priority for large enterprises. Given its advantages, open source software has proliferated across the globe. Ron Bodkin explains how Teradata drives open source adoption inside enterprises using open source data management and AI techniques leveraged across the analytical ecosystem.
Talk Title | Driving enterprise open source adoption, from data lake to AI (sponsored by Teradata) |
Speakers | Ron Bodkin (Google) |
Conference | Strata + Hadoop World |
Conf Tag | Big Data Expo |
Location | San Jose, California |
Date | March 14-16, 2017 |
URL | Talk Page |
Slides | |
Video | Talk Video |
Ron Bodkin explains how Teradata drives open source adoption inside enterprises through scaling data management on Hadoop using open source projects like Kylo, streaming data with Listener, performing SQL on Hadoop with Presto, and modernizing analytics using AI techniques with Spark, Aster, and TensorFlow to address key enterprise requirements that integrate Hadoop to fully leverage the benefits of open source in their analytical ecosystems. This keynote is sponsored by Teradata.