APACHE HBASE 中文是什么意思 - 中文翻译

• apache hbase

在 英语 中使用 Apache hbase 的示例及其翻译为 中文

What is Apache Hbase?
什么是ApacheHBase？?

Apache HBase is the Hadoop database.
ApacheHBase是Hadoop数据库。

What is Apache Hbase?
问：什么是ApacheHBase？?

All Apache HBase data can be queried from measurements by simple SQL.
所有ApacheHBase数据都可以进行简单的SQL查询。

The system is backed by Apache HBase and Spark Streaming.
本系统由ApacheHBase和SparkStreaming支撑。

The Apache HBase community has released Apache HBase 1.0.0.
ApacheHBase社区发布了ApacheHBase1.0.0。

Is a Java middle tier that allows developers to execute SQL queries on Apache hbase.
是一个Java中间层，可以让开发者在ApacheHBase上执行SQL查询。

Apache HBase is used when you need random, realtime read/write access to your Big Data.
ApacheHBase曾经是随机，实时的读/写访问大数据。

User can easily store data in storage systems like HDFS, Apache HBase and Amazon s3.
使用Impala，您可以将数据存储在存储系统中，如HDFS，ApacheHBase和Amazons3。

For example, Apache HBase uses ZooKeeper to track the status of distributed data.
例如，ApacheHBase使用ZooKeeper跟踪分布式数据的状态。

It can access diverse data sources including HDFS, Apache Cassandra, Apache HBase, and S3.
它可以访问不同的数据源，包括HDFS，ApacheCassandra，ApacheHBase和S3。

For example, Apache HBase uses ZooKeeper to track the status of distributed data.
例如，ApacheHBase使用ZooKeeper来跟踪分布式数据的状态。

It can access different sources of data such as HDFS, Apache Cassandra, Apache HBase, and S3.
它可以访问不同的数据源，包括HDFS，ApacheCassandra，ApacheHBase和S3。

Apache HBase is used when you need random, realtime read/write access to your Big Data.
在哪里可以使用HBase？ApacheHBase曾经是随机，实时的读/写访问大数据。

This mechanism helps you in automatic fail recovery while connecting other distributed applications like Apache HBase.
此机制可帮助你在连接其他分布式应用程序（如ApacheHBase）时进行自动故障恢复。

Apache HBase: HBase is a non-relational database management system that runs on top of HDFS.
ApacheHBase:HBase是一个在HDFS之上运行的非关系型数据库管理系统。

The Splice Machine RDBMS executes operational workloads on Apache HBase® and analytical workloads on Apache Spark.
SpliceMachineRDBMS在ApacheHBase上执行操作工作负载，在ApacheSpark上执行分析工作负载。

Apache HBase is an open-source NoSQL database that is built on Hadoop and modeled after Google BigTable.
ApacheHBase是一种开源NoSQL数据库，它构建于Hadoop基础之上，并基于GoogleBigTable模型化。

JanusGraph supports various storage backends(Apache Cassandra, Apache HBase, Google Cloud Bigtable, Oracle BerkeleyDB).
JanusGraph支持多种储存后端（包括ApacheCassandra、ApacheHBase、Bigtable、BerkeleyDB）。

Apache HBase began as a project by the company Powerset out of a need to process massive amounts of data for the purposes of natural-language search.
ApacheHBase最初是Powerset公司为了处理自然语言搜索产生的海量数据而开展的项目。

Other tableless databases started to also make an appearance in mainstream knowledge, such as CouchDB, Cassandra, Dynomite and Apache Hbase.
其他无表格数据库也开始走入主流视野，如CouchDB，Cassandra，Dynomite和ApacheHbase。

The distributed data store for Hadoop, Apache HBase, supports the fast, random reads/writes(“fast data”) required for online applications.
Hadoop，ApacheHBase的分布式数据存储支持在线应用程序所需的快速随机读/写（“快速数据”）。

We spent a few weeks setting up a test framework to evaluate clusters of MySQL, Apache Cassandra, Apache HBase, and a couple of other systems.
我们花了几周时间设计了一套测试框架，以评估MySQL、ApacheCassandra、ApacheHBase和另外两套系统。

Other popular stores- Apache Cassandra, MongoDB, Apache HBase, and many others- can be used by pulling in separate connectors from the Spark Packages ecosystem.
其他流行的存储，ApacheCassandra、MongoDB、ApacheHBase等等，可以通过从Spark软件包生态系统中分离出独立的连接器来使用。

Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.
正如Bigtable利用Google文件系统提供的分布式数据存储一样，ApacheHBase在Hadoop和HDFS之上提供类似Bigtable的功能。

Other popular stores- Apache Cassandra, MongoDB, Apache HBase, and many others- can be used by pulling in separate connectors from the Spark Packages ecosystem.
像其他流行的存储工具--ApacheCassandra、MongoDB、ApacheHBase和些其他的能够从SparkPackages生态系统中提取出来单独使用的连接器。

Tigon®, which is a distributed framework built on Apache Hadoop® and Apache HBase for real-time, high-throughput, low-latency data processing and analytics applications.
另一个组件是Tigon，一个基于ApacheHadoop和ApacheHBase构建的分布式框架，用于实时，高吞吐量，低延迟的数据处理和分析应用程序。

Other key contributors on Apache projects include Zach York on Apache HBase, Jonathan Kelly on Apache Bigtop, and Ryan Schmitt on Apache HttpComponents.
对Apache项目的其他重要贡献者包括ZachYork对ApacheHBase项目的支持，JonathanKelly对ApacheBigtop项目的支持，以及RyanSchmitt对ApacheHttpComponents项目的支持。

It is built on Apache Spark, MLlib, and HBase and was even ranked on Github as the most popular Apache Spark-based machine learning product.
它建立在ApacheSpark、MLlib和HBase之上，甚至在Github上被评为最受欢迎的基于ApacheSpark的机器学习产品。

Three years later, HBase became a standalone top-level Apache project.
三年后，HBase成为了一个独立的顶级Apache项目。