Revolutionize your Analytics using Machine Learning – Data Science using SQL

Presented by

Raghunath Pawar, Vertica

About this talk

In today’s data-driven world, creating a competitive advantage depends on your ability to transform massive volumes of data into meaningful insights. Companies that use advanced analytics and machine learning are twice as likely to be top quartile financial performers, and three times more likely to execute effective decisions. Built into Vertica’s core — with no need to download and install separate packages — in-database machine learning transforms the way data scientists and analysts across industries interact with data; removing barriers and accelerating time to value on predictive analytics projects. The webinar takes you through the journey around the usual data science process, pitfalls attached, how Vertica addresses the same, what is included, short examples and most importantly some successful real-life use-cases with customers from different domains. If time permits, we will also try include a quick demonstration. KEY TAKEAWAYS • Understanding the data science process and aligning with Vertica features • Step-up from descriptive to predictive analytics • Data science, do it now, do it fast with existing SQL skill-sets • How a DBA transform into an enthusiast data-scientist • In short, finding the art of the possible using Vertica ML
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (166)
Subscribers (38207)
OpenText has completed the purchase of Micro Focus, including Vertica. Our combined expertise expands our analytics offerings to help customers confidently scale analytics to the largest and most demanding workloads for the fastest predictive insights available on the market.