ABOUT THE TALK: In this talk, Felipe Hoffa and Daniel Myers present an honest take of their wildly different approaches to Developer Relations and how both have been critical in building Snowflake's world-class developer community and ecosystem from the ground up. Learn how they define DevRel KPIs & metrics and daily challenges they face and lessons learned along the way. You might even get inspired to become a Developer Advocate after understanding the different ways to engage with the Snowflake community and what's next for Snowflake Developer Relations.

ABOUT THE SPEAKERS: Felipe Hoffa is the Data Cloud Advocate at Snowflake. Previously he worked at Google, as a Developer Advocate on Data Analytics for BigQuery, after joining as a Software Engineer. He moved from Chile to San Francisco in 2011. His goal is to inspire developers and data scientists around the world to analyze and understand their data in ways they never could before.

Daniel Myers is in Developer Relations and previously held roles at different companies, including Google, Cisco, and Fujitsu. In addition, he led and founded multiple startups.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

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ABOUT THE TALK: This talk walks you through the structure of NumFOCUS, the programs, challenges, and vision for a sustainable, inclusive, and vibrant open source community. This talk will deep dive on sustainability endeavors, including diversity and inclusion, and how you can get involved in the NumFOCUS community.

ABOUT THE SPEAKER: Dr. Katrina Riehl is President of the Board of Directors at NumFOCUS, Head of the Streamlit Data Team at Snowflake, and Adjunct Lecturer at Georgetown University. For almost two decades, Katrina has worked extensively in the fields of scientific computing, machine learning, data mining, and visualization. Most notably, she has helped lead data science efforts at the University of Texas Austin Applied Research Laboratory, Apple, HomeAway (now, Vrbo), and Cloudflare.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/

ABOUT THE TALK: The power to gather, analyze, and quickly act on real-time bidding data is critical for advertisers and publishers. A data platform that supports real-time bidding empowers these participants to obtain insights from the huge amounts of data generated by programmatic advertising.

Learn how our Beeswax data platform captures real-time information about bids and impressions and provides feedback to advertisers, enabling them to make data-driven decisions for optimal results. It is built on an event-based architecture, leveraging AWS Kinesis and Snowflake's Snowpipe, that is capable of processing bid requests at a massive scale - around half a million QPS in real-time! We also talk about how the platform evolved over time and how we've built the platform and monitoring infrastructure to enable sustained growth.

ABOUT THE SPEAKER: Margi Dubal is a Director of Data Engineering at Freewheel, a Comcast Company. She currently leads various data teams to build scalable, reliable, and high-quality data solutions. Prior to joining Freewheel, Margi has held data engineering management positions at Paperless Post, Amplify and Adknowledge Inc.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/

ABOUT THE TALK Learn all about cost and performance optimization in Snowflake. This talk deep dive's into Snowflake’s architecture & billing model, covering key concepts like virtual warehouses, micro-partitioning, the lifecycle of a query and Snowflake’s two-tiered cache. It then goes in depth on the most important optimization strategies, like virtual warehouse configuration, table clustering and query writing best practices. Throughout the talk, code snippets and other resources are shared to help you get the most out of Snowflake.

ABOUT THE SPEAKERS Niall Woodward and Ian Whitestone are the co-founders at SELECT, a tool to help Snowflake users optimize their Snowflake cost & performance.

Niall Woodward has been well known in the data community for creating and contributing to open source packages.

Ian Whitestone previously led data teams at Shopify and Capital One. At Shopify, Ian spearheaded the efforts to reduce their data warehouse spend by over 50%.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai