What is the translation of " BIGTABLE " in English?

• bigtable

Examples of using Bigtable in Chinese and their translations into English

MCKUSICK实际中Bigtable的客户端都有哪些呢？?
MCKUSICK Who are the real clients of BigTable?

个性化搜索将用户数据存储到Bigtable。
Personalized Search stores each user's data in Bigtable.

为ApacheHadoop设计的数据存储，创意来自BigTable。
Data store for Apache Hadoop based on ideas from BigTable.

Bigtable是一个稀疏的，分布式的，持久化的多维有序Map。
A Bigtable is a sparse, distributed, persistent multi-dimensional sorted map.

如果Z比我们收集系统中的系数低的话，我们就保留这个span信息，并写入到Bigtable中。
If z is less than our collection sampling coefficient, we keep the span and write it to the Bigtable.

大多数采用这种访问模式BigTable应用程序会减小Block的大小，通常会减到8KB。
Most Bigtable applications with this type of an access pattern reduce the block size to a smaller value, typically 8KB.

我还看了GoogleBigTable的论文和让人着迷的亚马逊的Dynamo的论文，不过这都是很久以前的事情了。
I also read the google BigTable paper and the fascinating Amazon's Dynamo paper, but that was a long time ago.

QUINLAN主要的区别是SSTables是不可变的，而Bigtable提供了可变的keyvalue存储。
QUINLAN The main difference is that SSTables are immutable, while BigTable provides mutable key value storage, and a whole lot more.

Google的很多项目使用Bigtable存储数据，包括Web索引、GoogleEarth、GoogleFinance。
Many projects at Google store data in Bigtable, including web indexing, Google Earth, and Google Finance.

另外，BigTable与其姊妹技术MapReduce相结合，每天可以处理多达20PB的数据。
Meanwhile BigTable, in conjunction with its sister technology, MapReduce, processes as much as 20 petabytes of data per day.

在2000年初，开发诸如MapReduce、BigTable、GoogleFileSystem的新技术来处理大数据。
In the early 2000's they developed new techniques like MapReduce, BigTable and Google File System to handle their big data.

因为BigTable客户端并不依赖于主服务器来获得Tablet的位置信息，所以，大多数客户端从来不和主服务器通信。
Because Bigtable clients do not rely on the master for tablet location information, most clients never communicate with the master.

我们建立了一个N个tablet服务器的Bigtable集群来测量Bigtable伴随着N的变化的性能和可扩展性。
We set up a Bigtable cluster with N tablet servers to measure the performance and scalability of Bigtable as N is varied.

它使用了BigTable来存储所有持久化的元数据，使用了Colossus(Google的分布式文件系统)来存储数据文件。
It uses BigTable to store all persistent metadata, and it uses Colossus(Google's distributed file system) to store the data files.

QUINLAN这肯定可以算作Bigtable的一个应用场景，但是它实际上是为了解决更通用的一类问题。
QUINLAN That has certainly been one use case for BigTable, but it was actually intended for a much more general sort of problem.

可以由Bigtable来赋值，表示准确到毫秒的“实时”；或者由用户应用程序来赋值。
They can be assigned by Bigtable, in which case they represent"real time" in microseconds, or be explicitly assigned by client applications.

我们在一套有N个tabletserver的Bigtable集群进行测试，测量N变化时Bigtable的性能和可扩展性。
We set up a Bigtable cluster with N tablet servers to measure the performance and scalability of Bigtable as N is varied.

帮助Google设计并推出了大型发布式计算系统，包括：MapReduce、BigTable、Spanner以及Google文件系统。
Helped to design and implement some of Google's large distributed systems, including MapReduce, BigTable, Spanner, and Google File System.

在设计、实现、维护和支持BigTable的过程中，我们收获了有益的经验，并且获得了几个有意思的教训。
In the process of designing, implementing, maintaining, and supporting Bigtable, we gained useful experience and learned several interesting lessons.

鉴于BigTable的不同寻常的接口，一个有意思的问题是，我们的用户适应BigTable的过程是多么艰难。
Given the unusual interface to Bigtable, an interesting question is how difficult it has been for our users to adapt to using it.

AndrewGlover逐步介绍了如何将Twitterretweets映射到Bigtable，以备在GoogleAppEngine中部署它。
Andrew Glover walks through the steps of mapping Twitter retweets into Bigtable, in preparation for deploying it in Google App Engine.

C-Store同时也是个“读性能优化的关系型数据库”，而Bigtable对读和写密集型应用都提供了很好的性能。
C-Store is also a"read-optimized relational DBMS", whereas Bigtable provides good performance on both read-intensive and write-intensive applications.

类似Cassandra，HBase是Google的Bigtable的开源实现转化成的数据库，天然被设计为高可扩展性。
Similar to Cassandra, HBase's roots as an open source implementation of Google's Bigtable translate into the database being highly scalable by design.

BigTable依赖一个簇管理系统来调度作业、在共享机器上调度资源、处理机器失败和监督机器状态。
Bigtable depends on a cluster management system for scheduling jobs, managing resources on shared machines, dealing with machine failures, and monitoring machine status.

可用的云服务（如Firebase，BigTable，DynamoDB和托管MongoDB）使开发人员可以更轻松地创建数据接口。
Cloud based services that are available, such as Firebase, BigTable, DynamoDB and hosted MongoDB, make it easier for developers to create interfaces for data.

BigTable依赖集群管理系统来调度任务、管理共享的机器上的资源、处理机器的故障、以及监视机器的状态。
Bigtable depends on a cluster management system for scheduling jobs, managing resources on shared machines, dealing with machine failures, and monitoring machine status.

Cassandra基于两个存储引擎（GoogleBigTable和AmazonDynamoDB）而开发，因此，我的建议是遵循这两份白皮书的指导。
Cassandra was developed based on two storage engines, Google BigTable and Amazon DynamoDB so my suggestion is to follow up with those two whitepapers.

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。
For example, HBase provides Google BigTable database-like functionality, and the Hadoop Distributed File System(HDFS) provides similar functionality to Google File System(GFS).