Let’s cut straight to the chase with this lightning talk from Benjamin Jeter, a data architect, platform manager, and data engineer at Datto. For those that are not familiar with Datto, they are an American cybersecurity and data backup company. They’re the leading global provider of security and cloud-based software solutions purpose-built for Managed Service Providers (MSPs). In Benjamin’s talk, he goes through some of the considerations and design goals of a reference architecture pattern that they use and why they chose to use Trino with Starburst Galaxy.
But you might be wondering: what does Ben mean when he says “reference architecture”? A reference architecture pattern is a pattern for making arbitrary data available to end users in a reproducible and modular way. It’s an opinionated representation of what best practices look like for a given class of use cases. You can almost think of it as a conceptual tool for thinking critically about specific patterns through a pragmatic balance of simplicity and effectiveness. However, it is not something that will work for every use case and not necessarily the best solution.
The main design goal that Benjamin had was to facilitate near real-time data access while using only Trino. In addition, he wanted it to be simple, easy to understand, flexible, and adaptable. Accomplishing this design goal requires many steps, such as first having a daily batch transform that transforms JSON into Iceberg and serve as T-1 data. Then he created an unpartitioned external table that is rebuilt every day as part of the daily batch transform. Using the Great Lakes connectivity with this table allows Datto to have scan on query semantics, which enables data access about as real-time as you can get it without a streaming solutions like Kafka or Kinesis. Benjamin shows how easy it is to design a use case with just a couple lines of code using Trino with Starburst Galaxy.
Interested? Check out the video where Benjamin shows the code and explains how it works!
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