IBM has jumped on the Apache Spark bandwagon, revealing it would throw its considerable weight behind the open source in-memory processing framework that has been gaining momentum over the last year.

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 ...

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 ...

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 ...

You probably did not hear it here first. Spark has been making waves in big data for a while now, and 2017 has not disappointed anyone who has bet on its meteoric rise. That was a pretty safe bet ...

Our analysis and end-user discussions continue to demonstrate that a new modern data stack is emerging along with sophisticated data-oriented “personas,” such as data analysts and data scientists.

IBM is showing its support for Apache Spark in a big way at Spark Summit, a three-day event packed with lectures from leading production users of Spark, Spark SQL, Spark Streaming and related projects ...

Databricks, the commercial entity created by the developers of the open source Apache Spark project, announced $33M in Series B funding today and the launch of a new cloud product, their first one as ...

The hyperscalers, cloud builders, HPC centers control the design and manufacturing of own AI infrastructure. They have big bucks, and they can afford to get exactly what they want. For the rest of the ...