Examples of using Hadoop data in English and their translations into Chinese
{-}
-
Political
-
Ecclesiastic
-
Programming
Spark: A fast and general compute engine for Hadoop data.
Spark：Hadoop数据的快速和通用计算引擎。It is a complex task to convert such Hadoop data into valuable information.
大数据的任务就是将此类Hadoop数据转变成有价值的信息。Ability to integrate with Hadoop and existing Hadoop data:.
能够与Hadoop及现有Hadoop数据相集成.The task for big data is to convert the Hadoop data in to actionable information.
大数据的任务就是将此类Hadoop数据转变成有价值的信息。Making Hadoop data accessible to business users is one of the biggest challenges of our time.
使Hadoop数据可供商业用户访问是当代面临的最大挑战之一。It is the task of big data to convert such Hadoop data into valuable information.
大数据的任务就是将此类Hadoop数据转变成有价值的信息。Making Hadoop data accessible to business users is one of the biggest challenges of our time.
Hadoop数据如何落地，为企业用户所用，是当下最大的挑战之一。All these provide quick andinteractive SQL like interactions with Apache Hadoop data.
这三个开源项目都提供快速和交互式的SQL，如与ApacheHadoop数据的交互。Hadoop data mining tools have made these monitoring tools more reliable over the last few years.
在过去的几年中，Hadoop数据挖掘工具使这些监控工具更加可靠。Hortonworks develops, distributes and supports the open source Apache Hadoop data platform.
Hortonworks开发、散布唯一的完全开源ApacheHadoop数据平台并提供支持。Finally, data scientists can easily access Hadoop data and run Spark queries in a safe environment.
最终数据科学家可以轻松访问Hadoop数据，并在安全的环境中运行Spark查询。Apart from that it can run on Hadoop 2's YARN cluster manager,and can read any existing Hadoop data.
例如可以运行在Hadoop2的YARN集群下，可以读取现有的Hadoop数据。For this, they turned to software from AtScale, which makes Hadoop data accessible to SQL query engines like Tableau.
为此，他们从AtScale转向使用软件，这样可以使用SQL查询引擎访问Hadoop数据。There are also upcoming changes toHadoop itself that will make SQL queries of Hadoop data easier.
Hadoop本身也将迎来一系列变更，从而使Hadoop数据的SQL查询流程更为便捷。Hadoop data lakes can be set up on-premises as well as in the cloud using enterprise platforms such as Cloudera and HortonWorks.
Hadoop数据湖可以本地部署，或借助Cloudera和HortonWorks等企业平台实现云端建立。Before Hive, developers were faced with the challenge ofcreating complex MapReduce jobs to query the Hadoop data.
在Hive出现之前，开发人员不得不创建复杂的MapReduce作业才能查询Hadoop数据。I would nothesitate for taking the biggest sensation Apache Hadoop data processing, run by Amazon Web Services and Windows Azure.
我会毫不犹豫地采用由AmazonWebServices和WindowsAzure运行的最大的ApacheHadoop数据处理。Apart from that it can run on Hadoop 2's YARN cluster manager,and can read any existing Hadoop data.
除此之外，它可以在Hadoop2的YARN集群管理器上运行，并且还能读取任何已有Hadoop数据。We wouldn't like to delay fortaking the new most significant feeling Apache Hadoop data processing services, run by Amazon Web Services and Windows Azure.
我会毫不犹豫地采用由AmazonWebServices和WindowsAzure运行的最大的ApacheHadoop数据处理。Moreover, Parquet's seamless integration with Apache Sparkmade this solution a popular choice for accessing Hadoop data.
此外，Parquet与ApacheSpark的无缝集成使该解决方案成为访问Hadoop数据的流行选择。All of this data lands in a Cloudera Hadoop Data Lake, running in Microsoft's Azure cloud, which is also where Brown-Forman runs Tableau Server.
所有这些数据都存储在一个在MicrosoftAzure云中运行的ClouderaHadoop数据湖中，Brown-Forman的TableauServer也在此云中运行。These are applications,frameworks and engines that let users query Hadoop data from inside Hadoop, sometimes by re-architecting the underlying compute and data infrastructures.
而且这些是应用，框架以及可以让用户从内部进行Hadoop数据查询的引擎，有时候也会重构底层计算以及数据基础设施。Cloudera Impala provides fast,interactive SQL queries directly on your Apache Hadoop data stored in HDFS or HBase.
ClouderaImpala可以直接为存储在HDFS或HBase中的Hadoop数据提供快速、交互式的SQL查询。Cloudera Impala can provide fast,interactive SQL queries directly for Hadoop data stored in HDFs or hbase.
简介：ClouderaImpala可以直接为存储在HDFS或HBase中的Hadoop数据提供快速，交互式的SQL查询。In particular,Spark can run in Hadoop clusters and access any Hadoop data source, including Cassandra.
特别地，Spark可以运行在Hadoop的集群上，可以访问任何Hadoop的数据源，包括Cassandra。And Murthy has also helped fashion a tool called Peregrine,which lets you query Hadoop data far more quickly than the norm.
穆尔蒂还帮助建造了一个叫作Peregrine的工具，能够让查询Hadoop数据的速度比标准情况快很多。
