Data Masters Podcast

Episode 9, Season 1

“Data is critical to combating COVID-19. But challenges around COVID-19 data collection and sharing prevent this information from being fully utilized by federal and state governments. That’s the perspective of Paul Balas, who was previously the Chief Advisor Advanced Analytics at mining company Newmont.Paul shares how his analytics background gives him a unique perspective on the topic of COVID-19 data collection, what’s required to better align government stakeholders and how the private sector resolved similar data collection issues.”

Ido Biger, CDO at El Al Israel Airlines, shares how embedding himself in different El Al departments made him a better leader, what practices he brought to the airline from his previous jobs and what he teaches the next generation of data leaders as an adjunct lecturer.

Episode 8, Season 1

Ido Biger, CDO at El Al Israel Airlines, shares how embedding himself in different El Al departments made him a better leader, what practices he brought to the airline from his previous jobs and what he teaches the next generation of data leaders as an adjunct lecturer.

Data ops has emerged as a way for organizations to better manage their data pipelines. You’ll hear more about this concept from Chris Bergh, head chef, founder and CEO of DataKitchen, a software company that aims to help data professionals regain control of their data pipelines. He’ll talk about how his experiences in the software industry lead him down the data ops path, define what data ops is and why companies should give data ops a try.

Episode 7, Season 1

Data ops has emerged as a way for organizations to better manage their data pipelines. You’ll hear more about this concept from Chris Bergh, head chef, founder and CEO of DataKitchen, a software company that aims to help data professionals regain control of their data pipelines. He’ll talk about how his experiences in the software industry lead him down the data ops path, define what data ops is and why companies should give data ops a try.

What’s required to master large numbers of data sources? First, avoid approaches that require writing rules. Then use machine learning and cloud computing to efficiently handle the workload. That advice comes from Mike Stonebraker, a database pioneer who helped create the INGRES relational database system, won the 2014 A.M. Turing Award, and has co-founded several data management startups, including Tamr.

Episode 6, Season 1

What’s required to master large numbers of data sources? First, avoid approaches that require writing rules. Then use machine learning and cloud computing to efficiently handle the workload. That advice comes from Mike Stonebraker, a database pioneer who helped create the INGRES relational database system, won the 2014 A.M. Turing Award, and has co-founded several data management startups, including Tamr.Mike talks about common data mastering mistakes, why traditional tools aren’t right for the task, and shares examples of companies that have successful mastered data at scale.

As vice president of data management and operations at Thomson Reuters, Marc Alvarez applies an entrepreneurial approach to data management. During his career, he’s found that treating data less like an IT project and more like a business asset requires fundamental changes around data management.