在 中文 中使用 Spark是 的示例及其翻译为 英语
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ApacheSpark是一个集群计算框架。
Apache Spark is an open source cluster framework.ApacheSpark是用Scala编程语言编写的。
Apache Spark is written in Scala programming language.Spark是最活跃的Apache项目之一。
Spark is the most active project of Apache at this moment.集群计算框架ApacheSpark是用Scala写的。
集群计算框架ApacheSpark是用Scala写的。
Apache's cluster computing framework Spark is written in Scala.集群计算框架ApacheSpark是用Scala写的。
Cluster computing framework Apache Spark is written in Scala.ApacheSpark是用于运行Spark应用程序的工具。
Apache Spark is a tool for Running 集群计算框架ApacheSpark是用Scala写的。
Group figuring structure Apache Spark is written in Scala.ApacheSpark是一个快速且通用的集群计算系统。
Apache Spark is a fast and general-purpose cluster computing system.ApacheSpark是包含流处理功能的下一代批处理框架。
Apache Spark is a next generation batch processing framework with stream processing capabilities.ApacheSpark是一种包含流处理能力的下一代批处理框架。
Apache Spark[19] is a next generation batch processing framework with stream processing capabilities.ApacheSpark是你可能需要花时间学习的另一个重要平台。
Apache Spark is another important platform you might want to spend time learning.Spark是在许多方面是Hadoop的生态系统里的MapReduce的继承人。
Spark is in many ways the successor to MapReduce in the Hadoop ecosystem.作为MapReduce之外的一种选择，Spark是一种数据处理引擎。
An alternative to MapReduce, Spark is a data-processing engine.ApacheSpark是由来自50多家公司的一大群开发人员建立的。
Apache Spark is built by a wide set of developers from over 50 companies.ApacheSpark是由来自50多家公司的一大群开发人员建立的。
Spark is built by a wide set of developers from over 50 companies.Spark是Hadoop发行版的一部分，并且被广泛认为跟Hadoop存在联系。
Spark is part of Hadoop distributions and Spark是一个数据处理引擎，可通过内存数据存储解决这一问题。
Spark is a data processing engine that solves this challenge by using in-memory data storage.如今，Spark是Hadoop发行版的一部分，与Hadoop有着广泛的联系。
Today, Spark is part of Hadoop distributions and ApacheSpark是一种闪电般快速的集群计算技术，专为快速计算而设计。
Apache Spark is a lightning-fast cluster computing technology, designed for fast computation.
