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Fully managed in the cloud
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There is a revolution brewing. Dave Vellante and George Gilbert sounded the alarm in their October 15th, 2023 article, identifying a new data platform...
Announcing the release of Starburst Enterprise (SEP) 443-e.1 LTS release. This long-term support (LTS) release continues Starburst’s commitment to introducing features and improvements designed...
Summer is approaching, and we're heating up with new features and workshops, with more on the horizon! Let's dive into the latest enhancements in...
Just last month we launched a fully-managed Icehouse implementation in Starburst Galaxy. If you haven’t seen it already, our Icehouse Developer Resource Center is...
When we first announced our commitment to build a fully managed Icehouse platform, we saw the emerging need for a platform that provides a...
Today at Data Universe 2024 we announced our fully managed Icehouse implementation in Starburst Galaxy, serving as the foundation of our open lakehouse platform. ...
Today at Data Universe 2024, we unveiled our productized manifesto and announced a new Icehouse implementation within Starburst Galaxy which brings together enhanced Trino...
At the recent Governing data products to scale session, Laurent Dresse, the Chief Evangelist at DataGalaxy, promotes collaboration between data product producers and consumers. ...
Enterprises face significant challenges with their Hadoop infrastructures, driving the need for modernization. Upgrading the SQL engine is a highly effective solution, providing data...
It’s time to talk about data pipelines, specifically data ingestion best practices. Typically, a data engineering pipeline has three stages: Data Ingestion Data Transformation...
It seems like only yesterday that Trino celebrated being around for a decade. Born out of Facebook to address the need for improved performance...
Enterprise data architectures are not pristine. They evolve to create a patchwork of different data systems, structures, and formats. Somehow, engineers must stitch everything...
As organizations strive to harness the full potential of their data, the limitations of legacy Hadoop systems become increasingly apparent. Hadoop's architecture has been...
Table maintenance is necessary for Apache Iceberg tables in order to keep your data optimized and performant. That extra effort is worth the reward...
In a previous notice, we announced the deprecation of support for RubiX and Alluxio caching systems due to challenges in providing enterprise-level support on...
Summer is approaching, and we're heating up with new features and workshops, with more on the horizon! Let's dive into the latest enhancements in...
Just recently, we launched the core functionality that enables you to write custom quality checks using SQL and schedule them periodically to check the...
The most meticulously planned and created data products are only valuable to your organization if the data is consumed. Without consumption, your data product...
Since Trino 431 release, support for CREATE [OR REPLACE] TABLE statements was added. The relevant issue is available here. What is a CREATE [OR...
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