Hosted by Slalom and starburst

Trino on Ice: Redwood City

Let's talk Trino on Ice and Data Mesh

Tuesday, November 14

 

6:00 p.m. - 8:00 p.m.

 

889 Winslow St, Suite 400, Redwood City, CA 94063

 

Entrance is FREE and includes food & drinks!

 

Speakers:

Galen Kim Davis, Data & Analytics Director at Slalom
Cole Bowden, Release Manager & Developer Advocate at Starburst

 

Topics covered:

Trino on Ice
Trino is an open-source distributed SQL query engine, known for processing large volumes of data across multiple data sources and capable of running ad-hoc queries at blazing fast speeds while also handling long-running ETL workloads with its fault-tolerance mode.


Apache Iceberg is an open-source open table format that solves the challenges of traditional big data management and brings reliability and simplicity of SQL tables to the data lake.


Both Trino and Apache Iceberg are powerful data technologies independently, but together they truly shine. The Iceberg storage format was built to handle huge data tables while enabling data engines to safely query those tables. By adding Trino, data engineers, data scientists, and data analysts alike can make ANSI SQL queries on Iceberg tables with the interface and BI tool interoperability of a traditional data warehouse. Combining the benefits of Trino and Iceberg together, you can apply the traditional benefits of the data warehouse to the data lake, creating a powerful, modern data lake.


Data Mesh
Data Mesh has entered the hype cycle and the normal archetypes are overselling it. There are books. There are conferences. There are pre-seed startups with sometimes beautiful slides. But data mesh is not just hype -- it has been used in practice for over a decade. It starts with Presto / Trino. Galen will talk about how work happens at companies with long histories of Presto usage and provide recommendations on navigating the journey successfully.


Agenda:

6:00 – 6:30 pm: Food, drinks, and networking
6:30 – 7:30 pm: Main presentations
7:30 – 8:00 pm: Q&A / networking
 

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