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 ...

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 ...

Databricks, the company behind Apache Spark, today announced the beta release of Databricks Community Edition, a free version of the cloud-based big data platform at Spark Summit East. This service ...

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 ...