Session: Trino Gateway: Because one Trino cluster is not enough
Manfred Moser, Director of Trino Community Leadership @ Starburst
Will Morrison, Senior Director of Specialty Systems @ Starburst
Mature organizations using Trino often end up running more than one cluster. These clusters are often for different departments, different datasets, and data locations, batch vs. analytics use cases, or simply to separate production from test clusters. Trino Gateway is the tool used to simplify access to all of these clusters.
Manfred and Will’s session dives into the power of the Trino Gateway. Acting as a load balancer, proxy server, and configurable routing gateway for multiple Trino clusters, many larger deployments across the Trino community rely on the Trino Gateway in production. Learn more about how the Trino community utilizes Trino Gateway in order to achieve workload distribution, automatic query routing, and more.
Where & when?
Open Source Data Summit 2024 was held on October 2nd, 2024.
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OSDS is always free and open for all to attend.
What is Open Source Data Summit?
OSDS is a peer-to-peer gathering of data industry professionals, experts, and enthusiasts to explore the dynamic landscape of open source data tools and storage.
The central theme of OSDS revolves around the advantages of open source data products and their pivotal role in modern data ecosystems.
OSDS is the annual peer hub for knowledge exchange that fosters a deeper understanding of open source options and their role in shaping the data-driven future.
Who attends OSDS?
OSDS is attended by data engineers, data architects, developers, DevOps practitioners and managers, and data leadership.
Anyone who is looking for enriched perspectives on open source data tools and practical insights to navigate the evolving data landscape should attend this event.
On October 2nd, 2024 we convened for discussions about:
- Benefits of open source data tools
- Cost/performance trade-offs
- Building data storage solutions
- Challenges surrounding open source data tool integration
- Solutions for the cost of storing, accessing, and managing data
- Data streams and ingestion
- Hub-and-spoke data integration models
- Choosing the right engine for your workload
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