The Data Engineering Show

In this episode of The Data Engineering Show, the bros welcome the CEO DuckDB Labs and co-creator DuckDB, Hannes Mühleisen. They delve into the groundbreaking journey of DuckDB, an analytical database that processes billions of queries every month. Learn why DuckDB prioritizes broad compatibility over specialized optimizations, how its extension model works and the emerging solutions for database technology in the age of AI.

In this episode of The Data Engineering Show, the bros sit with Daniel Pálma, Head of Marketing at Estuary, to delve into the intriguing world of data engineering and marketing. Daniel shares his transition journey into marketing from data engineering and how his technical proficiency has been leveraged to market to engineers. The conversation cuts across the importance of AI in data movement, the future of data engineering, real-time data integration challenges, and the evolution of data integration.

In this episode of The Data Engineering Show, host Benjamin and co-host Eldad are joined by Chad Sanderson, CEO and co-founder of Gable AI to discuss the revolution of data quality and governance, the importance of understanding data flow and the processes that help organizations manage their data more effectively.

Wouter Trappers is the founder of Xudo and shares his slightly unconventional path from philosopher to data consultant with the Bros in this latest episode of The Data Engineering Show. Wouter’s grounding in philosophy has proved to be a shaping influence on his approach to business intelligence. Much more than just a software solution, for Wouter, BI is all about change management and aligning leadership with data projects.

This is a special episode of The Data Engineering Show, and joining the Bros is not one guest, nor even two – instead they’re revisiting the best bits from three different fascinating episodes. In each, they spotlight essential trends and lessons learned across the evolving data engineering landscape. From data observability to bridging academia with real-world practice, this episode covers perspectives on where data engineering is heading and why certain challenges persist.

In this episode of The Data Engineering Show, Ryanne Dolan from LinkedIn joins the Bros to discuss LinkedIn's Hoptimator project. Ryanne explains how they’re simplifying complex data workflows by automating them through SQL queries, integrating Kubernetes, Kafka, and Flink. The conversation highlights the shift towards a consumer-driven data model and the future of data engineering.

SQL’s slow. SQL’s stupid. We hear these claims every time a new shiny tool enters the market, only to realize five years later when the hype dies down that SQL is actually a good idea. In this super techie episode of the Data Engineering Show, Andy Pavlo, Associate Professor at Carnegie Mellon University, joins the bros to delve into database internals and optimization. Andy discusses leveraging ML for autonomous database optimization, using Postgres for practical applications, tuning production databases safely, and why SQL is here to stay.

Too often expensive resources and manhours are spent on dashboards no one uses, resulting in zero ROI. Philip Philip Zelitchenko, VP of Data & Analytics at ZoomInfo met the bros to talk about adopting product management principles to ensure data projects have value, and provide an unfiltered peak into ZoomInfo’s data stack and unique tech culture. 

Matthew Weingarten, Lead Data Engineer at Disney Streaming, talks about principles essential for data quality, cost optimization, debugging, and data modeling, as adopted by the world's leading companies.

Data engineering should be less about the stack and more about best practices. While tools may change, foundational principles will remain constant. Joseph Mercado, Senior Data Engineer at LinkedIn, is on The Data Engineering Show to talk about principles that are key to success, leveraging AI for automation, and adopting software engineering methods.