webinar-iconWebinar
date-iconon-demand
time-iconanytime

Data Mastering at Scale with Michael Stonebraker

The gap between business needs around data quality and availability, and the reality of the state of enterprise data has never been larger. As enterprise data grows exponentially, decades of technologies have failed to address the challenge of large data volume and variety and unintended data silos.

In this webinar, Michael Stonebraker dives into why the data accessibility gap exists and one of the leading solutions for silo integration called “data mastering.” You'll get to learn:

  • Definition of “data mastering.” 
  • Outline the strategies for implementing mastering projects in large enterprises.
  • Indicate why traditional solutions based on extract, transform, and load (ETL) and rules-based systems will never scale to the size of problems encountered in the enterprise today. 
  • Argue that integration systems based on machine learning (ML) are the only viable alternatives at scale. 

Watch now to see how Stonebraker uses real-world examples to illustrate these points and showcase actionable insights to implement successful data mastering projects.

***As seen at the 2020 MIT Chief Data Officer and Information Quality (CDOIQ) Symposium ***

Watch Now

In this webinar, Michael Stonebraker dives into why the data accessibility gap exists and one of the leading solutions for silo integration called “data mastering.” You'll get to learn:

  • Definition of “data mastering.” 
  • Outline the strategies for implementing mastering projects in large enterprises.
  • Indicate why traditional solutions based on extract, transform, and load (ETL) and rules-based systems will never scale to the size of problems encountered in the enterprise today. 
  • Argue that integration systems based on machine learning (ML) are the only viable alternatives at scale. 

Watch now to see how Stonebraker uses real-world examples to illustrate these points and showcase actionable insights to implement successful data mastering projects.

***As seen at the 2020 MIT Chief Data Officer and Information Quality (CDOIQ) Symposium ***

About the Speaker

Mike Stonebraker

Michael Stonebraker
Co-Founder at Tamr

Michael Stonebraker is an adjunct professor at MIT CSAIL and a database pioneer who specializes in database management systems and data integration. He was awarded the 2014 A.M. Turing Award (known as the “Nobel Prize of computing”) by the Association for Computing Machinery for his “fundamental contributions to the concepts and practices underlying modern database systems as well as their practical application through nine start-up companies that he has founded.”