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ZOOM LINK:
https://tinyurl.com/druid-trino

ABSTRACT:
Ever wonder how Facebook and Amazon bring analytics to every corner of their organizations, with equal access to both streaming and batch data? Come listen to how engineers from companies like Netflix, AirBnB and Lyft have utilized open source projects to build a modern, open data warehouse architecture – and learn that it's actually not impossible to do the same with a limited engineering team and without the Silicon Valley price tags.

The easy 1–2 punch: Apache Druid is a low lift realtime analytics solution that can give you access to any "hot" data that might be streaming in, while Trino helps federate and warm up your data lake. Together, they bring interactive ad-hoc analytics across all of your data sources. They enable you to build a cloud native, highly scalable, data warehouse platform that avoids the pitfalls of the past and brings analytics to the future!

SPEAKER BIOS:

  1. Rachel Pedreschi, VP of Community & Developer Relations at Imply
    LinkedIn: https://www.linkedin.com/in/rachelpedreschi/

Rachel Pedreschi is the VP of Community at Imply. A "Data Geek-ette," Rachel is no stranger to the world of high-performance databases and data warehouses. She is a Vertica, Informix and Redbrick certified DBA on top of her work with Cassandra and has 20 years of business intelligence and ETL tool experience. Rachel has an MBA from San Francisco State University and a BA in Mathematics from University of California, Santa Cruz.

  1. Brian Olsen, Trino Developer Advocate at Starburst Data
    LinkedIn: https://www.linkedin.com/in/bitsondatadev/

Brian is a U.S. Marine turned software engineer and developer advocate working to foster the open-source Trino community. Brian spent four years as a data engineer at a cybersecurity company working on pipeline maintenance and query optimization. While in this role, Brian was responsible for maintaining data pipelines and migrations to include replacing some legacy data warehousing systems to use open-source Trino. Brian is a published author in ACM and IEEE geospatial database conferences.

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