# Trino optimization with distributed caching on data lakes

DevFeed: [Trino optimization with distributed caching on data lakes](<https://devfeed.tech/articles/trino-optimization-with-distributed-caching-on-data-lakes-8730.md>)

Original publisher: [Read original article](<https://trino.io/blog/2023/07/21/trino-fest-2023-alluxio-recap.html>)

Author: Hope Wang, Beinan Wang, and Cole Bowden

Published: 2023-07-21T00:00:00Z

Content type: article

Language: en

Sources: [Trino Blog](<https://devfeed.tech/sources/trino-blog.md>)

Topics: [Caching](<https://devfeed.tech/topics/caching.md>), [data](<https://devfeed.tech/topics/data.md>), [Optimization](<https://devfeed.tech/topics/optimization.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Apache Iceberg](<https://devfeed.tech/topics/apache-iceberg.md>)

Tags: [caching](<https://devfeed.tech/tags/caching.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [configuration](<https://devfeed.tech/tags/configuration.md>), [cost](<https://devfeed.tech/tags/cost.md>), [data](<https://devfeed.tech/tags/data.md>), [latency](<https://devfeed.tech/tags/latency.md>), [network](<https://devfeed.tech/tags/network.md>), [object-storage](<https://devfeed.tech/tags/object-storage.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [performance](<https://devfeed.tech/tags/performance.md>), [storage](<https://devfeed.tech/tags/storage.md>)

## AI overview

The article recaps a Trino Fest session about bringing Alluxio data caching to Trino. It explains how caching frequently accessed data on local SSDs can improve query performance, reduce latency and costs, ease network congestion, and reduce object-storage load across data lake connectors.

## Source excerpt

By 2025, there will be 100 zetabytes stored in the cloud. That's 100,000,000,000,000,000,000,000 bytes - a huge, eye-popping number. But only about 10% of that data is actually used on a regular basis. At Uber, for example, only 1% of their disk space is used for 50% of the data they access on any given day. With so much data but such a small percentage being used, it raises the question: how can we identify frequently-used data and make it more accessible, efficient, and lower-cost to access? Once we have identified that "hot data," the answer is data caching. By caching that data in storage, you can reap a ton of benefits: performance gains, lower costs, less network congestion, and reduced throttling on the storage layer. Data caching sounds great, but why are we talking about it at a Trino event? Because data caching with Alluxio is coming to Trino!