To view just the slides from this presentation, click HERE>>

This webinar is sponsored by:

About the Webinar

By consolidating data engineering, data warehouse, and data science capabilities under a single fully-managed platform, BigQuery can accelerate computation, reduce data analysis costs, and streamline data management.

Following in-depth interviews with a security services provider and a telecommunications company, Nucleus Research found that customers moving to Google Cloud BigQuery from on-premises data warehouse solutions accelerate data processing by over 75 percent while reducing data ongoing administrative expenses by over 25 percent.

As BigQuery continues to optimize its platform architecture for compute efficiency and multicloud support, Nucleus expects the vendor to see rapid adoption and further penetrate the data warehouse market.

About the Speakers

Alexander Wurm

Senior Analyst, Nucleus Research

Alexander Wurm is a Research Analyst at Nucleus Research covering enterprise software including data integration, automation, and machine learning. Alexander holds two degrees from the University of Florida: a BA in Economics and a BS in Behavioral Neuroscience. When he is not working, Alexander likes to ski (snow and water), rock climb, and team sports.

Manoj Gunti

Product Marketing, Google Cloud

Manoj Gunti leads go-to-market strategy for BigQuery at Google Cloud with over 10 years of experience in helping organizations build and scale their data-driven transformation programs. He is a data cloud evangelist with passion for developing data cultures through a unified approach to databases, analytics, BI and AI.