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Max Beauchemin

CEO, Preset

Maxime Beauchemin recently joined Lyft as a Software Engineer after some time at Airbnb as a data engineer developing tools to help streamline and automate data-engineering processes. He is also the creator and lead committer on Apache Airflow and Apache Superset. He mastered his data-warehousing fundamentals at Ubisoft and was an early adopter of Hadoop/Pig while at Yahoo in 2007. More recently, at Facebook, he developed analytics-as-a-service frameworks around engagement and growth-metrics computation, anomaly detection, and cohort analysis. He’s a father of three, and in his free time, he’s a digital artist.

Max Beauchemin

Sessions / 2022 / 1 talk

  • The Future of Business Intelligence

    Business intelligence is currently transitioning between some critical waves. The legacy proprietary BI vendors are quickly showing their age and new wave cloud BI platforms are still offering inflexible bundles. The BI stack is unbundling and being reassembled. Inspired by the rise of open source in the rest of the modern data stack, I started the Apache Superset project within Airbnb to modernize BI and inject the benefits of flexibility through open source. In this talk, I will share my thoughts on this next wave of BI and how the data stack will evolve with it. Note: I've put Ardelle's email for now (Max's assistant) and she will coordinate the logistics here for him to speak!

Sessions / 2019 / 1 talk

  • The history and anatomy of Apache Superset

    Open source projects can become complex living organisms that grow and bring large communities together. As Apache Superset grows to be 4 year old, we look back on the journey that brought the project to where it is today. More generally, we'll explore what it takes to grow an open source project, a community and a movement. We'll look at a retrospective of the design decisions, technology choices and engineering challenges that have shaped Superset. We'll also take a deep look into the current challenges the community is currently facing, and peak at what is ahead.

Sessions / 2018 / 1 talk

  • Functional Data Engineering - A Set of Best Practices

    Batch data processing (also known as ETL)  is time-consuming, brittle, and often unrewarding. Not only that, it’s hard to operate, evolve, and troubleshoot. In this talk, we’ll discuss functional programming paradigm and explore how applying it to Data Engineering can bring a lot of clarity to the process. It helps solving some of the inherent problems of ETL, leads to more manageable and maintainable workloads and helps to implement reproducible and scalable practices. It empowers data teams to tackle larger problems and push the boundaries of what’s possible.

Sessions / 2017 / 1 talk

  • How Superset and Druid Power Real-Time Analytics at Airbnb

    Real-time analytics at Airbnb is fluid and straightforward. This talk describes the solutions developed using Thrift, Kafka, Spark Streaming, Druid and Superset. Along the way, we will do a full tour of Superset and get to understand how it surpassed Tableau to become the most popular analytics tool at Airbnb. Superset is an open source, enterprise-ready, data exploration, visualization and dashboarding web application that integrates nicely with Druid as well as any SQL-speaking database. Attendees will get to understand how realtime analytics work at Airbnb while getting an extensive demo of Superset.

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