Alluxio Monthly Webinar: 10x Faster Trino Queries on Your Data Platform
You're invited to Alluxio's Monthly Webinar!
PLEASE REGISTER ON ZOOM: https://us06web.zoom.us/webinar/register/6817078655619/WN_29rkHalCQtmTqUKD2Taa6Q
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10x Faster Trino Queries on Your Data Platform
As Trino users increasingly rely on cloud object storage for retrieving data, speed and cloud cost have become major challenges. The separation of compute and storage creates latency challenges when querying datasets; scanning data between storage and compute tiers becomes I/O bound. On the other hand, cloud API costs related to GET/LIST operations and cross-region data transfer add up quickly.
The newly introduced Trino file system cache by Alluxio aims to overcome the above challenges. In this session, Jianjian will dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture. This architecture makes Trino 10x faster for data lakes of any scale, from GB to EB.
What you will learn:
Challenges relating to the speed and costs of running Trino in the cloud
The new Trino file system cache feature overview, including the latest development status and test results
A multi-level cache framework for maximized speed, including Trino file system cache and Alluxio distributed cache
Real-world cases, including a large online payment firm and a top ridesharing company
The future roadmap of Trino file system cache and Trino-Alluxio integration
Speaker: Jianjian Xie
Jianjian Xie is a Staff Software Engineer at Alluxio and an open-source contributor to Alluxio and Trino. He is currently focusing on distributed cache systems for interactive data analytics and machine learning. Before joining Alluxio, he was a research engineer at Indeed.
About Alluxio
Alluxio solves data challenges by providing a platform between your existing compute engines and storage systems, optimizing data access at every step of your data pipeline to accelerate analytics and AI workloads, on-prem, in the cloud, or both.
If you're interested in learning more and discovering how Alluxio can fit into your existing tech stack, schedule a demo here.
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