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Meta Tech Podcast
66: Inside Bento - Serverless Jupyter Notebooks at Meta
Aug 30, 2024
Join Steve, a Jupyter expert from Meta, as he reveals the exciting features of Bento, Meta's customized Jupyter Notebooks. Learn how serverless capabilities and WebAssembly enhance performance and efficiency. Steve discusses innovative tools like scheduled notebooks, easier data integration from Google Sheets, and the upcoming multi-language support. Discover how Bento streamlines data analytics and fosters collaboration among engineers and data scientists while integrating AI to assist users. Get a glimpse of what's next for these groundbreaking tools!
44:21
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Quick takeaways
- Bento enables seamless collaboration by allowing internal users to share Jupyter Notebooks easily while maintaining strict privacy controls for data access.
- The platform's innovative serverless execution through WebAssembly enhances user experience by allowing immediate access to data analysis without traditional computing complexities.
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Overview of Bento and Jupyter Notebooks
Bento is an internal implementation of Jupyter Notebooks specifically designed for use within Meta, offering an interactive web-based platform where users can run Python code, execute data analyses, and train machine learning models. It integrates Meta-specific features to streamline the user experience, such as notebook sharing among colleagues and direct browser execution. Unlike standard Jupyter notebooks, Bento can run serverlessly using a WebAssembly version of Python, which significantly enhances accessibility and ease of use. This serverless approach facilitates immediate interaction with data and analysis without the complexities of traditional computing environments.
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