Speaker: Arjen de Vries (Radboud University) Slides: https://blobs.duckdb.org/events/duckcon4/arjen-de-vries-duckdb-applications-in-ir.pdf

Speakers: Hannes Mühleisen, Mark Raasveldt (DuckDB Labs) Slides: https://blobs.duckdb.org/events/duckcon5/hannes-muhleisen-mark-raasveldt-introduction-and-state-of-project.pdf

Speaker: Rik Bauwens (DataCamp) Slides: https://blobs.duckdb.org/events/duckcon4/rik-bauwens-duckdb-at-datacamp.pdf

Speaker: Josh Wills Slides: https://blobs.duckdb.org/events/duckcon3/josh-wills-duckdbt.pdf

Speaker: Remco Poortinga - van Wijnen (SURF) Slides: https://blobs.duckdb.org/events/duckcon4/remco-poortinga-van-wijnen-how-to-analyse-a-ddos-quackly.pdf

Presented on 2024-02-02 at DuckCon #4 in Amsterdam

Speaker: Polina Kazakova (Hugging Face) Slides: https://blobs.duckdb.org/events/duckcon4/polina-kazakova-hugging-a-duck.pdf

Speaker: Hannes Mühleisen (DuckDB Labs)

Speaker: Suman Karumuri (Airbnb) Slides: https://blobs.duckdb.org/events/duckcon3/suman-karumuri-kaldb-log-analytics-with-duckdb.pdf

Speaker: Frances Perry (MotherDuck) Slides: https://blobs.duckdb.org/events/duckcon5/frances-perry-taking-flight-with-interactive-analytics.pdf

Speaker: Aditya Parameswaran (Ponder, UC Berkeley) Slides: https://blobs.duckdb.org/events/duckcon3/aditya-parameswaran-ponder-pandas-on-duckdb-with-ponder.pdf

Presenter: Jonathan Dance (Hydra)

Speaker: Andy Prock (TigerEye) Slides: https://blobs.duckdb.org/events/duckcon5/andy-prock-quack-attack-bringing-duckdb-to-the-dart-side.pdf

Speaker: Mark Raasveldt (DuckDB Labs) Slides: https://blobs.duckdb.org/events/duckcon3/mark-raasveldt-duckcon-state-of-the-duck.pdf

Overview of DuckDB's release v0.10.0 and plans for the upcoming v1.0.0, presented on 2024-02-02 at DuckCon #4 in Amsterdam.

Speakers: Hannes Mühleisen, Mark Raasveldt (DuckDB Labs) Slides: https://blobs.duckdb.org/events/duckcon4/duckcon4-mark-raasveldt-hannes-muhleisen-state-of-the-duck.pdf

Speaker: Niger Little-Poole (Prequel) Slides: https://blobs.duckdb.org/events/duckcon4/niger-little-poole-the-duckdb-feather-in-your-parquet-cap.pdf

As a Head of Data or a one-person data team, keeping the lights on for the business while running all things data-related as efficiently as possible is no small feat. This talk will focus on tactics and strategies to manage within and around constraints, including monetary costs, time and resources, and data volumes.

📓 Resources Big Data is Dead: https://motherduck.com/blog/big-data-... Small Data Manifesto: https://motherduck.com/blog/small-dat... Why Small Data?: https://benn.substack.com/p/is-excel-... Small Data SF: https://www.smalldatasf.com/

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Learn how your data team can drive innovation and maximize ROI by embracing constraints, drawing inspiration from SpaceX's revolutionary cost-effective approach. This video challenges the "abundance mindset" prevalent in the modern data stack, where easily scalable cloud data warehouses and a surplus of tools often lead to unmanageable data models and underutilized dashboards. We explore a focused data strategy for extracting maximum value from small data, shifting the paradigm from "more data" to more impact.

To maximize value, data teams must move beyond being order-takers and practice strategic stakeholder management. Discover how to use frameworks like the stakeholder engagement matrix to prioritize high-impact business leaders and align your work with core business goals. This involves speaking the language of business growth models, not technical jargon about data pipelines or orchestration, ensuring your data engineering efforts resonate with key decision-makers and directly contribute to revenue-generating activities.

Embracing constraints is key to innovation and effective data project management. We introduce the Iron Triangle—a fundamental engineering concept balancing scope, cost, and time—as a powerful tool for planning data projects and having transparent conversations with the business. By treating constraints not as limitations but as opportunities, data engineers and analysts can deliver higher-quality data products without succumbing to scope creep or uncontrolled costs.

A critical component of this strategy is understanding the Total Cost of Ownership (TCO), which goes far beyond initial compute costs to include ongoing maintenance, downtime, and the risk of vendor pricing changes. Learn how modern, efficient tools like DuckDB and MotherDuck are designed for cost containment from the ground up, enabling teams to build scalable, cost-effective data platforms. By making the true cost of data requests visible, you can foster accountability and make smarter architectural choices. Ultimately, this guide provides a blueprint for resisting data stack bloat and turning cost and constraints into your greatest assets for innovation.

Speaker: Jessica Zhu (Watershed) Slides: https://blobs.duckdb.org/events/duckcon3/jessica-zhu-watershed.pdf