What is the translation of " DISTRIBUTED FILE SYSTEM " in Chinese?

• 分布式文件系统
• distributed file system

Examples of using Distributed file system in English and their translations into Chinese

Distributed File System.
分布文件系统.

The Nutch Distributed File System.
Nutch分布文件系统.

Distributed File System Tools File Server Resource Manager Tools.
分布文件系统工具文件器资源工具.

The Hadoop Distributed File System.
Hadoop分布文件系统.

A distributed file system called HDFS that not only stores data but also replicates it so that it is always available.
一个称为HDFS的分布式文件系统，它不仅存储数据，而且复制数据，使得数据一直可用。

The Hadoop Distributed File System.
Hadoop分布系统HDFS.

In 2004, Nutch's developers set about writing an open-source implementation, the Nutch Distributed File System(NDFS).
年，Nutch的开发者开始着手做GFS开源版本的实现，即Nutch分布式文件系统(NDFS)。

Hadoop Distributed File System.
Hadoop分布文件系统.

IPFS also accounts for how those files move across the network(via protocols), so it is also a distributed file system.
IPFS也记录了这些文件在网络中的移动方式，因此，它也是个分布式文件系统。

The Distributed File System Service.
分布文件系统服务.

Also, despite the data getting stored in individual nodes, they can form a network to access a distributed file system if the need arises.
此外，尽管数据存储在各个节点中，但如果需要，它们可以形成网络来访问分布式文件系统。

Hadoop Distributed File System.
Hadoop分布系统HDFS.

For distributed computing, each server must be able to access the data, which is the role played by HDFS(Hadoop Distributed File System).
对于分布式计算，每个服务器必须具备对数据的访问能力，这就是HDFS（HadoopDistributedFileSystem）所起到的作用。

A Hadoop Distributed File System.
Hadoop分布式系统HDFS.

Tahoe-LAFS- Tahoe Least-Authority Filesystem is a free and open, secure, decentralized, fault-tolerant, peer-to-peer distributed data store and distributed file system.
Tahoe-LAFS-TahoeLeast-AuthorityFilesystem是一个免费、开放、安全、去中心化、容错、点对点的分布式datastore和分布式文件系统。

Hive Hadoop Distributed File System.
HiveHadoop分布文件系统.

Via a distributed file system such as a NAS server, NFS, FTP, or rsync;
通过分布式文件系统，如NAS服务器、NFS、FTP或rsync；.

SQL Server 2019 comes with Apache Spark and Hadoop Distributed File System(HDFS) for intelligence over all your data.
SQLServer2019附带ApacheSpark和HadoopDistributedFileSystem（HDFS），可实现所有数据的智能化。

Hadoop Distributed File System(HDFS) uses MapReduce framework to process the vast amount of data that takes minutes or hours.
Hadoop分布式文件系统HDFS使用MapReduce框架来处理大量的数据，需要几分钟或几小时。

Spark's MLlib can use a Hadoop-based data source, for example, Hadoop Distributed File System(HDFS) or HBase, as well as local files..
Spark的MLlib可以使用基于Hadoop的数据源，例如Hadoop分布式文件系统（HDFS）或HBase，以及本地文件。

Ceph isn't unique in the distributed file system space, but it is unique in the way that it manages a large storage ecosystem.
Ceph在分布式文件系统空间中并不是唯一的，但它在管理大容量存储生态环境的方法上是独一无二的。

For example, HBase provides Google BigTable database-like functionality, and the Hadoop Distributed File System(HDFS) provides similar functionality to Google File System(GFS).
例如，HBase提供类似于GoogleBigTable数据库的功能，HadoopDistributedFileSystem（HDFS）提供类似于GoogleFileSystem（GFS）的功能。

Spark and Hadoop Distributed File System(HDFS), now built-in, enable data scientists to ingest, store and analyze vast amounts of data.
Spark和Hadoop分布式文件系统（HDFS）现已内建在系统内，让数据科学家可以提取、存储分析大量数据。

Borthakur, D. The hadoop distributed file system: Architecture and design.
学习Hadoop分布式文件系统HDFS：TheHadoopDistributedFileSystem:ArchitectureandDesign.

The Hadoop distributed file system, or HDFS, is the foundation for many big data frameworks, since it provides scaleable and reliable storage.
Hadoop分布式文件系统或HDFS是许多大型数据框架的基础，因为它提供了可扩展和可靠的存储。

The Google File System[6] is another distributed file system built for hosting the state of Google's internal applications.
谷歌文件系统【参见6】是另一个分布式文件系统，构建用来管理（hosting）谷歌内部应用的状态。

It uses the Hadoop Distributed File System(HDFS) which allows the use of different platforms and the ability to perform parallel data processing.
它使用Hadoop分布式文件系统(HDFS)，它允许使用不同的平台和执行并行数据处理的能力。

NFS, or Network File System, is a distributed file system protocol that allows you to mount remote directories on your server.
NFS或网络文件系统是一种分布式文件系统协议，允许您在服务器上安装远程目录。

Speed- Hadoop's distributed file system, concurrent processing, and the MapReduce model enable running complex queries in a matter of seconds.
高速度：Hadoop的分布式文件系统、并行处理能力以及MapReduce模型可实现在数秒内运行复杂的查询。

The Google File System[6] is another distributed file system built for hosting the state of Google's internal applications.
GoogleFileSystem[6]是另一个分布式文件系统，用于存储Google内部应用的状态数据。