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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...
In honor of National Coming Out Day, we sat down with two members of our Starburst Pride to learn more about their personal journeys and what this day means to them.
Dell’s Joe Steiner and Rick DeMare recognize the business value of the Dell and Starburst partnership in driving innovation and accelerating insights by breaking...
Today marks a professional milestone for me as I join Starburst to help drive the data lake analytics revolution. I don’t post often, but this is one of those moments I can’t help marking. I’ve been watching Starburst closely, practically since it was founded, and it’s so rare that you get to join a story in progress that you happen to believe is a genuine revolution, and also the very revolution that you’d most like to join!
Today, we are thrilled to introduce support for Python DataFrames in Starburst Galaxy with the launch and support of the PyStarburst and Ibis libraries! These libraries enable you to leverage the flexibility of Python while capitalizing on the scale and performance of the leading MPP SQL query engine. This also allows for a more seamless integration into development practices like version control, CI/CD, unit tests, etc.
Today, Starburst and Google Cloud are announcing a deeper partnership to advance AI capabilities for our customers. Starburst is a unified data lake analytics...
Data analytics certification program to learn about topics such as data lakes and data lakehouses, and modern table formats like Apache Iceberg.
As mentioned in my first blog post, I explained how we use Starburst at Starburst to create resilient data pipelines and how I have...
In this post, we take a look at the advantages that data lakehouses hold regarding: (1) performance, (2) cost, (3) flexibility, and (4)compliance. Increased performance Benefits...
Data must be structured before it is moved into a data warehouse. Let’s examine how data in data warehouses is typically structured, and how...
Let’s understand the distinctions between a data mesh and data warehouse, and how Starburst can help. Data mesh vs data warehouse Data Mesh is a decentralized, distributed approach...
In this post, we discuss how data mesh shifts the focus from a centralized data lake to a distributed data architecture, emphasizing data products. Centralized architecture vs. Decentralization Data...
Organizations today are using artificial intelligence and machine learning to answer complex business questions. They often follow an artificial intelligence development life cycle to...
Another batch of backport releases for our long-term support (LTS) versions of Starburst Enterprise platform (SEP) is now available. ...
This notice serves to communicate the deprecation of RubiX in Starburst Enterprise Platform and the removal of RubiX, Alluxio, and Sentry integration with the...
This notice serves to communicate Starburst Enterprise Platforms’s (SEP) transition to Java 21 in 2024. Summary: Trino will run exclusively on Java 21 as...
This notice clarifies Starburst’s stance on Trino community connector support in Starburst Enterprise Platform and provides detailed information about upcoming changes to ensure our...
Data professionals often grapple with challenges such as code complexity, efficiency, and readability issues in SQL queries. Manually handling repetitive or resource-intensive tasks not...
Starburst Enterprise platform (SEP) 433-e STS has been released as a follow-up to the 429-e LTS release. ...
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