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成立于2013年,是一家基于云计算的Spark大数据软件公司,提供用于数据集成、数据清洗、数据管理以及其他服务的基于Spark的云服务。近日,Databricks获得40.8亿美元战略投资。
What I'd like to cover here goes beyond those AI headlines, however, and involves a special nugget just for folks doing data engineering, analytics and machine learning work with Apache Spark.
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 ...
At its Data + AI Summit, Databricks today made the requisite number of announcements one would expect from a company’s flagship developer event. Among those are the launch of Delta Lake 2.0, the next ...
Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...
J轮融资目标为100亿美元,目前已完成86亿美元,公司估值从之前的430亿美元跃升至620亿美元——这不是某家全球互联网巨头的成绩单,而是Databricks,一个相对陌生的大数据公司,近期创造的惊人纪录。在所有大数据公司中,Databricks的估值如今遥不可及,已经 ...
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数据成为企业的新型资源,犹如石油般重要。 随着互联网数据的爆炸性增长,数据已经成为企业的新型资源,犹如石油般重要。越来越多的企业希望利用各种结构化和非结构化数据来发挥自己的优势。 然而,他们面临着复杂的遗留基础设施、数据孤岛的解决 ...
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