Starburst

If you want to understand #DataArchitecture more thoroughly, including when to conduct a data architecture audit, start here. This has become even more imperative now that more and more organizations are using data architecture to power analytics and AI. Starburst powers the foundation of your data architecture - whether for Analytics or AI. #Data #DataArchitecture #AIArchitecture #Analytics #AI #DataApplications

Data architecture powers everything that you do. It underpins your data analytics, data applications–and increasingly–your AI workflows. But when was the last time that you did a data architecture audit? It can be easy to put off, but setting a regular cadence of data architecture audits can be an important stepping stone to getting the most out of your data and unlocking true business value. Starburst is here to help! In this article, Evan Smith outlines how running frequent data architecture audits on your analytics and AI architecture is more important forever, and how using Starburst is the perfect solution. Read more: https://okt.to/nvbjV2 #Data #DataArchitecture #DataAudit #DataArchitectureAudit #DataEngineering #Starburst

Two days to go! Join Thinksurance's webinar on real-time data quality & democratization. 📅 March 20, 2025 | 🕞 11:30 AM CET Ensuring real-time data quality while enabling self-service analytics is no easy task. Hear how Thinksurance built an automated, scalable data ecosystem to tackle this challenge. Join Cleber Barbado & Kevin Fischer from Thinksurance as they share how they: - Built an automated data quality framework - Integrated streaming & batch data for real-time insights - Balanced cost & performance with Iceberg & Hive - Used federated queries to democratize data access 📌 Save your spot now: https://okt.to/sZa45Y #DataQuality #StarburstGalaxy #DataDemocratization #RealTimeAnalytics

Have questions/concerns about #DataEngineering frameworks or how best to leverage them for your use case? If so, please join our live AMA event. The focus will be on interactive Q&A, but as always, Lester Martin 🥑 will have a topic to get the conversation started. Until some questions come in, the new #Trino spooling protocol client access changes will be discussed. This was presented recently in https://lnkd.in/gpqfWACD and the blog post at https://lnkd.in/ekUTMee8. As always, feel free to ask questions ahead of time in the comments section and for those finding it after the fact, ask your questions here, too, and we'll try to help out.

In this interview with AiThority.Com, our CEO Justin Borgman dives into how businesses can achieve speed, agility, and efficiency in AI-driven analytics, without the costly overhead of data movement. From the rise of AI-powered decision-making to the importance of secure and governed data access, Justin shares his insights on what’s next for AI, data lakehouses, and multi-cloud strategies. Read the full interview here: https://okt.to/4A1YoT #DataLakehouse #AI #Starburst #Trino #DataAnalytics

🚀 Huge news regarding Starburst + Amazon Web Services (AWS)! Starburst now supports Amazon #S3Tables directly, further enhancing its Iceberg and #IcehouseArchitecture. Really proud of the team that helped bring this message forward, especially including Lester Martin 🥑, Jessica (Fong) Miller, Marius Grama, Yuya Ebihara, Jan Waś, Emma Tippet. #AWS #Starburst #Data #DataEngineering #S3 #ApacheIceberg

Happy #AWS Pi Day! What's the next best thing behind actual pie on Pi Day you ask? How about Starburst announcing our ability to seamlessly integrate with Amazon S3 Tables! Check out the full blog post here: https://lnkd.in/guEu3j_n And THANK YOU to the Starburst and AWS teams who work tirelessly to provide our customers with the data platform and tools they need to address their enterprise-scale, data analytics and AI needs. Marius Grama Yuya Ebihara Lester Martin 🥑Evan Smith Daniel Pan Łukasz Walkiewicz Alison Loney Mayank Vadariya Praveen Krishna Aritra Gupta Yuri Zarubin Antony Prasad Thevaraj... You all deserve some pie today. 🥧 #datalakeanaltyics #rocketfuelforAI #S3Tables Ian Mercer Jeff M. Tanya Boucher, MBA Christopher K. Daley Kevin Holbrook Minesh Mehta Steven Foster

Managing large-scale data analytics across diverse data sources has long been a challenge for enterprises. Data teams often struggle with complex data lake configurations, performance bottlenecks, and the need to maintain consistent data governance while enabling broad access to analytics capabilities. Today, we are pleased to announce how Starburst in partnership with Amazon Web Services (AWS) provides us with a powerful solution to these challenges by extending their Apache Iceberg connector integration to support Amazon S3 Tables. Starburst’s Iceberg connector now seamlessly integrates with S3 Tables. This helps customers get more options for a data lake architecture of their choice. Please check out more details about this integration in our joint Storage blog : https://lnkd.in/ga7ZgUpX To learn more about Amazon S3 tables, please refer to this guide : https://lnkd.in/gui4wn3U Special thanks to Yuya Ebihara, Marius Grama, Evan Smith Aritra Gupta, Aditya Kalyanakrishnan, Valerie Laufer for your contributions in this integration. I would like to extend my sincere appreciation to broader team for this opportunity Jessica (Fong) Miller, Steven Foster, Jeff M., Ian Mercer, Subodh Kumar, Toni Adams, Christopher K. Daley, Kevin Holbrook. In the words of our partner exec: "We’re thrilled to see Amazon S3 introduce built-in support for Apache Iceberg with S3 Tables, advancing the Iceberg Open Data Lakehouse ecosystem. With S3 table buckets, we look forward to collaborating with AWS to help our joint customers bring the power of an Open Lakehouse, powered by optimized Trino– a leading open source MPP SQL engine, across diverse analytics and AI use cases to data in Amazon S3." ~~ Matt Fuller , Vice President, Product - Starburst #apacheiceberg #data #dataengineering #aws #starburst #trino

Pi(e) is best shared with friends. That’s why we’ve partnered with AWS this Pi Day to announce Starburst support for Amazon S3 Tables. Today, Starburst announces an extension of our Apache Iceberg connector, which now seamlessly integrates with Amazon S3 Tables using the Iceberg REST catalog. Want to see how it works? Check out the blog for a quick step-by-step guide to help get you started: https://okt.to/lERTFi #Data #AWS #S3Tables #PiDay #DataEngineering #Starburst #ApacheIceberg #Iceberg

3.14 reasons to treat yourself this #PiDay! 🥧✨ We’re giving away a Starburst-inspired pie to one lucky fan! Tag a friend and tell us your favorite pie flavor for a chance to win! #PiDayGiveaway #StarburstData