Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...

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 ...

Today to kick off Spark Summit, Databricks announced a Serverless Platform for Apache Spark — welcome news for developers looking to reduce time spent on cluster management. The move to simplify ...

Snowflake 宣布推出 Snowpark Connect for Apache Spark 的公开预览版，这是一款新产品，可让客户在 Snowflake 云上直接运行其现有的 Apache Spark 代码。此举使 Snowflake 更接近其主要竞争对手 Databricks 所提供的服务。 Snowpark Connect for Apache Spark 允许客户在 Snowflake ...

The immensely popular open-source cluster computing framework Apache Spark has just reached version 2.0, according to an announcement by the Apache Software Foundation (ASF) yesterday. Spark’s ...

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, ...

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 ...

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 ...

With the Hydrolix Spark Connector, Databricks users can use the Hydrolix streaming data lake to extract deeper insights faster and cheaper from their real-time and historical log data. According to a ...