The cloud-hosted environment, described by Databricks as being deployed by more than 150 firms, aims to simplify the use of the open-source cluster compute engine and cut the time spent developing, ...

在 6 月 10 日至 12 日于美国旧金山举行的 Databricks Data+AI 峰会上，Databricks 宣布将 Delta Live Tables（DLT）背后的技术贡献给 Apache Spark 项目，这个项目中，它将被称为 Spark 声明式管道（Spark Declarative Pipelines）。这一举措将使 Spark 用户更容易开发和维护流式管道，并 ...

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

谷歌承诺为机器学习和数据分析提供单一笔记本环境，将SQL、Python和Apache Spark集成在一个平台中。 读者可能会注意到，数据 ...

2017 年 11 月 15 日，美国纽约—— 本周三，微软公司召开年度开发者大会 Connect(); 2017。微软全球执行副总裁 Scott Guthrie 在大会上宣布推出多项全新的微软数据平台技术与跨平台开发工具。Scott Guthrie 概述了微软公司的愿景、分享了微软技术和开源技术能够为开发 ...

Apache Spark rose to prominence within the Hadoop world as a faster and easier to use alternative to MapReduce. But as fast as Spark is today, it won’t hold a candle to future versions of Spark that ...

Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

Databricks Inc., the primary commercial steward of the open source Apache Spark project for Big Data analytics, has upgraded its Spark-based platform, adding support for the R programming language, ...

Invented eight years ago and intensively commercialized over the past several years, Apache Spark has become a core power tool for data scientists and other developers working sophisticated projects ...

Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ...