2023年2月9日

2023年2月9日增強功能提高了數據分析師和科學家的工作效率，通過高達7倍的性能提升和低代碼方法來構建、管理和共享數據產品Starburst，隨地分析公司，今天在其第三屆年度Datanova會議上宣布了平台更新，顯著加快了性能，同時減少了增加數據消耗的障礙。這些功能的組合為希望用更少的分析、AI和ML工作負載做更多事情的組織提供了效率。為了使數據更易於消費，Starburst一直致力於提供一種低代碼解決方案，用於跨全球數據構建、共享和管理數據產品。繼去年在Starburst Enterprise中推出構建數據產品的功能之後，Starburst現在宣布了數據產品的私人預覽和自動數據目錄，能夠在其雲服務Starburst Galaxy中搜索和發現數據。新功能包括來自角色、用戶查詢和其他用戶行為(如添加新數據集)的自動化元數據。這些特性是繼去年11月re:Invent發布的關鍵數據和模式發現以及數據特權功能之後推出的，這些功能簡化了傳統的提取、轉換、加載(ETL)過程。這些新的UI和搜索組件帶來了市場體驗，使數據產品易於查找和消費，極大地提高了數據分析師和科學家的工作效率。Starburst還投資於Python生態係統，為數據科學家提供了一個熟悉的環境來使用他們最喜歡的語言。通過使用Python訪問Starburst Enterprise和Starburst Galaxy，數據科學家現在可以使用他們最喜歡的工具訪問與組織其他部分相同的基礎設施和數據。這些增強是為了響應客戶將PySpark工作負載遷移到Starburst和Trino以提高性能的願望而構建的，現在他們無需重寫代碼就可以做到這一點。 Combined with recently introduced Fault-Tolerant Execution, these new features enable data engineers and data scientists to build more accurate and agile models, on more data, with higher long-running query success rates. Lastly, Starburst is announcing Warp Speed, a smart indexing and caching solution that accelerates queries up to 7X, available in private preview in Starburst Galaxy, and generally available in Starburst Enterprise by end of February. Its patented indexing technology autonomously identifies and caches the most used or most relevant data based on usage pattern analysis, while the rest of the data remains close to the source, optimizing data lake performance. This type of acceleration strategy eliminates the manual burden of selecting what data in the data lake to optimize and cache. “Complexity across the data infrastructure is slowing time to insights and limiting the impact of data across organizations,” said Ali Huselid, SVP of Product, Starburst. “Starburst is focused on simplifying and accelerating data consumption by streamlining the delivery of data products. Today’s platform updates significantly raise the performance bar for data lake analytics, improving data engineer and scientist productivity while driving faster, more reliable insights across the enterprise.” These product releases will be shared in greater detail at Datanova today and tomorrow (February 8th and 9th), which is free, virtual, and open to all data professionals. To register and see more information, visit the landing page here. To learn more about Starburst, please visit our website: www.starburst.io/. previous post