Out loud, on record.
Public talks, live sessions and threads: databases, data science, and the shape of the modern data stack.
- 01 Watch →
An attempt to demystify the word “modern” by going through the historical cycles of technology used in analytics and data engineering.
- 02 Watch →
A deep dive into how database systems optimized for analytics workloads (OLAP) differ from those built for transactional workloads (OLTP). Heavy DuckDB advocacy.
- 03 Watch →
With Código Facilito’s CTO on understanding databases at a fundamental level and living a “database-centric” life. Features an Andy Pavlo shoutout.
- 04 Watch →
What data science actually is and how to begin the learning journey, starting with R’s tidyverse; highlights David Robinson’s screencasts as high-signal content.
- 05 Watch →
Solo version of the data-science fundamentals talk, without the interview format.
- 06 Watch →
A practical live session walking through Apache Airflow.
- 07 Watch →
A discussion on the real business value of data science today.
- 08 Watch →
How the APIs of different data libraries shape the way you think and work.
- 09 Watch →
The principles that make a data visualization effective.
- 10 View demo →
End-to-end analytics demo combining Snowflake, SageMaker, and dbt.
- 11 View thread →
Overview and discussion of modern data architectures.
- 12 View thread →
What a Product Manager really does, drawing from Marty Cagan’s “Inspired”.