What is the translation of " APACHE HIVE " in Chinese?

• apache hive

Examples of using Apache hive in English and their translations into Chinese

What is Apache Hive?
一、什么是ApacheHive？?

Apache Hive is the data warehouse infrastructure build on top of Hadoop.
ApacheHive-数据仓库基础设施建在Hadoop之上。

So what's Apache Hive?
一、什么是ApacheHive？?

Apache Hive is an Open Source system designed to query data using an SQL-based language.
ApacheHive是一个开源系统，用于使用基于SQL的语言查询数据。

Open source free products- Apache Hive, KNIME, and R.
开源免费工具--ApacheHive、KNIME和R语言.

Apache Hive 2.1- Apache Hive has been the SQL solution on Hadoop forever.
ApacheHive2.1ApacheHive是运行在Hadoop之上的永久SQL解决方案。

From there, they leveraged Apache Hive to“process in stage” and publish the data.
从那里，他们利用ApacheHive“处理阶段”并发布数据。

Apache Hive: Apache Hive facilitates querying and managing large datasets residing in distributed storage.
ApacheHive:ApacheHive优化了大型数据集分布式存储的查询和管理过程。

Hadoop queries will be channelled through the Apache Hive data warehouse software.
Hadoop查询将通过ApacheHive数据库仓库软件来通信。

For example, Apache Hive on Spark uses this transformation inside its join implementation.
举例说，ApacheHiveonSpark在join的实现中，使用了这个transformation。

In-database analysis of functions from platforms such as Apache Hive, MySQL, Oracle, and Teradata.
并支持数据库内分析来自ApacheHive、MySQL、Oracle、Teradata等平台的功能。

It leverages Apache Hive meta-store and is compatible with Hive SQL syntax, ODBC driver and Beeswax GUI(in Hue).
它利用了ApacheHive元仓库，兼容HiveSQL语法、ODBC驱动程序和BeeswaxGUI(在Hue中)。

We can also see several influential open source projects, especially ones associated with Apache(Hive, Hadoop, Spark).
我们还可以看到几个有影响力的开源项目，特别是与Apache（Hive，Hadoop，Spark）相关的项目。

While initially developed by Facebook, Apache Hive is now used and developed by other companies.
尽管最初由Facebook开发，ApacheHive现在由Netflix等其他公司进行开发与使用。

Gualtieri points to a diverse handful of Hadoop SQL solutions:“Apache Drill, Cloudera Impala, Apache Hive….
Gualtieri指出了多种可用的HadoopSQL解决方案：“ApacheDrill、ClouderaImpala、ApacheHive….

While initially developed by Facebook, Apache Hive is now used and developed by other companies such as Netflix.
尽管最初由Facebook开发，ApacheHive现在由Netflix等其他公司进行开发与使用。

A SchemaRDD can be created from an existing RDD, a Parquet file, a JSON dataset, or by running HiveQL against data stored in Apache Hive.
一个JavaSchemaRDD可以通过已存在的RDD，Parquet文件，一个JSON数据集或者存储在ApacheHive通过HiveQL运行的数据来创建[19]。

This is a brief tutorial that provides an introduction on how to use Apache Hive HiveQL with Hadoop Distributed File System.
这是一个简短的教程，介绍如何将ApacheHiveHiveQL与Hadoop分布式文件系统结合使用。

He is also the co-creator of Apache Hive and served as the project's founding Vice President at the Apache Software Foundation.
他也是ApacheHive项目的联合创始人，并作为该项目的Apache软件基金会的创始副总裁。

For example, recently a team from Facebook integrated one of my compressed bitmap index library in Apache Hive: the Hadoop-based framework for data warehousing.
例如，最近Facebook的一个团队集成了我发布的一个ApacheHive中的压缩位图索引库：基于Hadoop数据仓库框架。

It originated as the Apache Hive port to run on top of Spark(in place of MapReduce) and is now integrated with the Spark stack.
它最初来自于ApacheHive项目，用于运行在Spark上（来代替MapReduce），现在它已经被集成到Spark堆中。

The analytics tools required were basic and straightforward decisions mostly leveraging SQL interfaces into the Hadoop ecosystem for legacy tools and using Apache Hive.
该方案所需的分析工具很简单，通常会利用SQL接口把那些遗留工具接入Hadoop生态系统，并使用ApacheHive。

As a co-creator and former project lead for Apache Hive, I know that incentives are critical for an open source ecosystem to thrive.
作为ApacheHive的共同创建者和前项目负责人，我知道激励对于开源生态系统蓬勃发展至关重要。

Apache Hivemall is mainly designed to run on Apache Hive but it also supports Apache Pig and Apache Spark for the runtime.
ApacheHivemall设计主要是运行在ApacheHive之上，但是还支持在ApachePig和ApacheSpark上运行。

While initially developed by Facebook, Apache Hive is now also used and developed by other companies such as Netflix and Amazon Web Services.
尽管最初由Facebook开发，ApacheHive现在由Netflix等其他公司进行开发与使用。

It originated as the Apache Hive port to run on top of Spark(in place of MapReduce) and is now integrated with the Spark stack.
它起先作为ApacheHive端口运行在Spark之上（替代MapReduce），现在已经被集成为Spark的一个重要组件。

Sub-second query recovery through Hive IIAP, Apache Slider and Apache YARN.
通过HiveLLAP，ApacheYARN和ApacheSlider进行Sub-second级的查询检索。

Both Hadoop and Hive are open source(Apache projects) and are used by a number of big services, for example Yahoo and Twitter.
Hadoop和Hive是开源的（Apache项目），有为数众多的追随者，例如雅虎和Twitter。

Requirements: The technologies you will be working with include Apache Spark, Hadoop and/or Hive, as well as Kafka.
要求：你将使用的技术包括ApacheSpark、Hadoop和/或Hive，以及Kafka。