Join us for an interview with Max Beauchemin, the original creator of both Apache Superset and Apache Airflow and the founder and CEO of Preset, the company built around Apache Superset.[1:37] Motivations for building Apache Superset [5:30] Open source project KPIs [7:19] Differences between Preset and Superset [11:18] Superset deployment methods [13:02] Superset metrics layer (dbt integration)[14:33] Superset embedded use cases 👉 👉 Don't forget to join us at Data Council - where hundreds of data geeks, founders & investors join each other in building the future of data.

Pete interviews Lindsay Pettingill, CEO & Founder of Iggy. Iggy allows users to quickly understand physical locations to make better investment and management decisions. Lindsay gives us an overview of Iggy, how working at Airbnb informed founding Iggy, what neighborhood data is, and what the long term vision for Iggy is. Check it out!Highlights:[1:20] What does Iggy do?[5:20] How did your experience working at Airbnb inform founding Iggy?[10:06] Neighborhood data [13:22] Iggy’s long term vision (Wikipedia for places)[14:50] Insights for founders from a founder 👉 👉 Don't forget to join us at Data Council - where hundreds of data geeks, founders & investors join each other in building the future of data.

Join us for an interview with Shinji Kim, the CEO and founder of Select Star. She walks us through the data catalog landscape, where Select Star sits within that, how the startup thinks about data integration, and lastly she outlines how the data governance ecosystem is changing. Check it out! Highlights:[0:45]: Starting a company as an engineer (Concord Systems)[6:15]: The connection between Select Star and Concord Systems[10:57]: Controlling the inception of data so we know what ends up in the data lake[14:05]: Data catalog market landscape [17:55]: What Select Star does [20:03]: Select Star’s approach to data integration[21:55]: How the data governance ecosystem is changing👉 👉 Don't forget to join us at Data Council - where hundreds of data geeks, founders & investors join each other in building the future of data.

Join us for an interview with Joey Gonzalez, one of the founding members of the UC Berkeley RISE Lab and the founder of Aqueduct. Aqueduct is helping take data science into production systems. Listen to this episode to learn more!Highlights:[1:48] How Machine Learning Became Useful blog post[5:04] Building and deploying predictive models [8:36] Learnings from Turi [10:55] Real time prediction at Apple[13:19] Founding story of Aqueduct[16:42] How is Aqueduct differentiated from other projects out there [17:47] What is the status of the Aqueduct open source project today?[18:56] Where are ML systems headed?👉 👉 Don't forget to join us at Data Council - where hundreds of data geeks, founders & investors join each other in building the future of data.

Shirshanka Das spent a decade leading data architecture at LinkedIn where he was the co-creator of DataHub, Apache Gobblin, Databus, Espresso and other high scale data infrastructure projects. Today he is the co-founder and CEO of Acryl Data, listen and learn what problems they are seeking to solve.Highlights:[1:10] Leaving LinkedIn and starting Acryl [4:33] Datahub growth [8:12] Where will the data catalog market segment be in 5 to 10 years?[12:07] Unlimited context within the operating system [16:08] Organizations adopting the right thinking behind metadata [21:00] Is the data catalog a stand alone category of data infrastructure 10 years from now?👉 👉 Don't forget to join us at Data Council - where hundreds of data geeks, founders & investors join each other in building the future of data.

Get an update from Nick Schrock on the dagster project. This episode discusses the world of data orchestration at large, when and how to implement dagster, and the broader competitive landscape.Highlights:[0:34] The Dagster project and the problems it solves[3:05] Software defined assets and how they work [4:55] Example of how this can be implemented [6:30] Promotion of Dagster pipelines from development to production[10:34] Dagster cloud overview [13:15] When to adopt a data orchestrator [14:23] Will data orchestration be subsumed into larger data platforms or remain standalone? [18:10] The competitive landscape of data orchestration👉 👉 Don't forget to join us at Data Council - where hundreds of data geeks, founders & investors join each other in building the future of data.