Multithreaded in the Wild

Neelesh Salian and Brian Amadio
- San Francisco, CA

Hello Stitch Fix followers, check out where our fellow Stitch Fixers are speaking in the month of June.

Remote

Neelesh Salian, will be at Berlin Buzzwords on June 16th presenting on Building a metadata ecosystem using the Hive Metastore.

Description:

Metadata has been a key data infrastructure need since the beginning of our team's history at Stitch Fix. We began this journey in 2015 with the setup of the Hive Metastore to work with Spark, Presto, and the rest of the platform infrastructure. But as our business needs grew, we felt the need to enhance and extend our metadata ecosystem. In this talk, we want to share our journey of building additional capabilities with metadata to solve data and business challenges. Starting with our base infrastructure - the Hive Metastore, we will highlight each capability that led us to build the extensions into our present day metadata infrastructure. This includes improvements made to the Hive Metastore itself, extending the use of metadata beyond table schemas, and additional microservices we added to make access and use of metadata easier. Building these capabilities has helped our team use metadata to power internal use cases. We want to share how we went about building this ecosystem and the lessons we learned along the way.

Brian Amadio, will be at MLOps World: Machine Learning in Production on June 17th presenting on Multi-armed bandits in Production at Stitch Fix.

Description:

Multi-armed bandits have become a popular method for online experimentation which can often out-perform traditional A/B tests. In this talk, Brian Amadio will explain the challenges to scaling multi-armed bandits, and how he solved them for the Stitch Fix experimentation platform. His solution allows Data Scientists to build and integrate sophisticated contextual bandit reward models, and includes an entirely new method for efficient, deterministic Thompson sampling. The talk will also include a live demo of the open-source contextual multi-armed bandit library which he created: mab.

Be sure to catch us at these events :)

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