SPARK 英语是什么意思 - 英语翻译

• spark

在 中文 中使用 Spark 的示例及其翻译为 英语

Q：什么是Spark？?
Q: What is SPARKLE?

Spark6个月前.
By Spark 6 months ago.

好，回过头来再说SparkSQL。
Now back to spark SQL.

Spark科学学习系统.
SPARK Science Learning System.

当然，Spark并不完美。
SPARK isn't perfect, of course.

Spark可以独立运行。
POSs can operate independently.

那么spark的真正特点是什么?
What Are Spark's Unique Features?

Spark在Scala中实现。
DejavU is implemented in Scala.

MLib是Spark的机器学习（ML）库。
MLib is Spark's Machine Learning(ML) library.

Spark转化研究计划.
The SPARK Translational Research Program.

MLlib是Spark的机器学习（ML）库。
MLlib is Spark's machine learning(ML) library.

Spark入门-什么是Spark.
SPARK- What is SPARK?

一张简单的幻灯片：谁对SparkNLP感兴趣？
One simple chart: Who is interested in Spark NLP?”.

询问关于SparkMuseumofElectricalInvention的问题.
Visit the SPARK Museum of Electrical Invention.

一张简单的幻灯片：谁对SparkNLP感兴趣？?
Previous One simple chart: Who is interested in Spark NLP?

他还负责维护Spark核心引擎的几个子系统。
Patrick also maintains several subsystems of Spark's core engine.

总的来说Spark的适用面比较广泛且比较通用。
In general, Spark's application is more extensive and more general.

如果我是谷歌，我会收购Alltop来取代Spark。
If I were Google, I would buy Alltop and replace Spark with that.

与Hadoop相比，Spark有很多优点。
There are further advantages of Apache Spark in comparison to Hadoop.

Spark可以与SQL、Streaming以及复杂的分析良好结合。
Apache Spark can combine SQL, streaming, and complex analytics.

Patrick也维护着Spark核心引擎的几个子系统。
Patrick also maintains several subsystems of Spark's core engine.

Spark需要一个集群管理器和一个分布式存储系统。
Apache Spark requires a cluster manager and a distributed storage system.

在这点上，TalendStudio跟Sparksubmit没有区别。
In this case, Talend Studio is no different than a Spark submit.

Spark需要一个集群管理器和一个分布式存储系统。
Apache Spark requires a cluster manager and a distributed storage system to operate.

本节讨论部署SparkStreaming应用程序的步骤.
This section discusses the steps to deploy a Spark Streaming application.

我们将讨论SparkStreamingapplications在该event中的行为的失败.
We will discuss the shortcomings of Apache Spark in this article.

Spark可以非常方便地与其他的开源产品进行融合。
Mahara is customizable and can be integrated with other open source products with ease.

但Spark已经证明了成功同时解决了速度和规模。
But it's Spark that has demonstrated success in simultaneously addressing both speed and scale.

Spark允许你用Java、Scala或是Python快速编写应用程序。
Sparks allows one to quickly write applications in Java, Scala or even Python.

与Spark类似，SparkStreaming可以通过Maven来管理依赖。
Similar to Spark, Spark Streaming is available through Maven Central.