Data Coverage and Other Pillars of Data Science: An Interview with Gordon Wong, Part 2

Data scientist Gordon WongGordon Wong has been working with data since the early 90’s. His accomplishments include building Fitbit’s data analytics platform from the ground up and serving as HubSpot’s VP of Business Intelligence. He has also worked or consulted for leading brands such as ezCater, edX, and ZipCar. In all his engagements, Gordon focuses on repeatable processes, continuous insights, and team building. In Part 2 of our interview, we spoke to Gordon about data coverage and other pillars of data science, and the importance of testing for data quality. You can read Part 1 of our interview here.

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Continuous Analysis, Continuous Insights, and Data Quality: An Interview with Gordon Wong, Part 1

Data scientist Gordon WongGordon Wong has been working with data since the early 90’s. His accomplishments include building Fitbit’s data analytics platform from the ground up and serving as HubSpot’s VP of Business Intelligence. He has also worked or consulted for leading brands such as ezCater, edX, and ZipCar. In all his engagements, Gordon focuses on repeatable processes, continuous insights, and team building. We spoke to him about data science, the surprising staying power of SQL, and data quality.

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Data Quality Problems and How to Fix Them: An Interview with Michal Klos, Part 2

Michal KlosData engineering teams need to be able to find and fix data quality problems quickly. In part 2 of our interview with Michal Klos, Michal discusses the challenges of discovering and troubleshooting data quality problems in pipelines. Michal is Sr. Director of Engineering at Indigo Ag, where he is helping the fight against climate change. Michal has been leading data engineering and platform teams for nearly two decades. Before joining Indigo Ag, he built and scaled massive data platforms at multiple companies, including Localytics, Compete, and WB Games. You’ll find Part 1 of our interview with Michal here.

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Data Quality Challenges for Data Scientists: An Interview with Michal Klos, Part 1

Michal KlosData quality is an ongoing challenge for data scientists and data engineers. In this interview, Michal Klos share the insights he’s gleaned from a long career building data pipelines and ensuring they deliver high-quality results. Michal is Sr. Director of Engineering at Indigo Ag, where he is helping the fight against climate change. Michal has been leading data engineering and platform teams for nearly two decades. Before joining Indigo Ag, he built and scaled massive data platforms at multiple companies, including Localytics, Compete, and WB Games.

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