What is the translation of " BIGQUERY " in Chinese?

• bigquery

Examples of using Bigquery in English and their translations into Chinese

Querying findings in BigQuery.
在BigQuery中安排查询.

Moving BigQuery data between locations.
在不同位置之间移动BigQuery数据.

Cloud Dataflow sends the processed data to the BigQuery.
CloudDataflow可以将数据直接加载到BigQuery中。

BigQuery is automatically enabled in new projects.
新项目中会自动启用BigQuery。

Google opens up its BigQuery data analytics service to all.
Google开始面向企业提供大数据分析服务BigQuery.

BigQuery offers support for querying data directly from:.
BigQuery支持直接查询以下各项中的数据：.

But after a while, they began querying data directly through BigQuery itself.
但过了一段时间，他们开始直接通过BigQuery本身查询数据。

BigQuery does not guarantee data consistency for external data sources.
BigQuery不保证外部数据源的数据一致性。

Google Google's Big Data offerings include BigQuery, a cloud-based Big Data analytics platform.
谷歌公司推出的大数据产品包括BigQuery一款基于云的大数据分析平台。

BigQuery is serverless, fully managed and low-cost enterprise data warehouse.
BigQuery是无服务器，完全托管和低成本的企业数据仓库。

One place this technology is being used is as part of our experimental encrypted BigQuery client, which is openly available.
正在使用这项技术的一个地方是我们公开提供的实验性加密BigQuery客户端。

You can also use Google BigQuery to retrieve data relating to your domain and browse it in a more granular way.
您还可以使用GoogleBigQuery检索与您的域相关的数据，并以更精细的方式浏览它。

Drill is the open source version of Google's Dremel system which is available as an IaaS service called Google BigQuery.
Drill是GoogleDremel系统的开源版本，可作为名为GoogleBigQuery的基础结构服务提供。

There are no charges for exporting data from BigQuery, but you do incur charges for storing the exported data in Cloud Storage.
从BigQuery导出数据不会产生费用，但是将导出的数据存储在CloudStorage中会产生费用。

Google BigQuery Service is a Web service that enables you to do interactive analysis of massively large datasets-up to billions of rows.
谷歌BigQuery是一个网络服务，它能够让你执行数十亿行的大规模的数据集的交互分析。

Google was first to market with a revolutionary service called BigQuery in 2011 that solves the same problem in a completely different way.
谷歌率先在2011年推出了名为BigQuery的革命性服务，以完全不同的方式解决了同样的问题。

BigQuery is serverless, so there is no infrastructure to manage and you don't need a database administrator, it uses a pay-as-you-go model.
BigQuery是无服务器的，因此没有可管理的基础架构，不需要数据库管理员，它使用按需付费模式。

More recently, low-cost offerings such as Amazon Redshift, Google BigQuery, and even Microsoft Azure, have moved data warehousing to the cloud.
最近，低成本服务提供商，如亚马逊Redshift,谷歌BigQuery以及微软Auzre，已经将数据仓库转移到云。

BigQuery has strong OLAP capabilities to support this type of analysis, ad-hoc and in general, without requiring additional API implementation.
BigQuery有强大的OLAP功能来支持这种类型的分析，一般而言，不需要额外的API实现。

More recently, low-cost offerings such as Amazon Redshift, Google BigQuery, and even Microsoft Azure, have moved data warehousing to the cloud.
最近，低开销的服务提供方，诸如亚马逊的Redshift，谷歌的BigQuery，甚至是微软的Azure，已经把数据仓库移到云上。

BigQuery, our fully managed serverless data warehouse, allows you to quickly find meaningful insights without having to manage infrastructure.
借助我们的完全托管式无服务器数据仓库BigQuery，您可以迅速找到有意义的数据洞见，而无需自行管理基础架构。

If you choose a regional storage resource such as a BigQuery dataset or a Cloud Storage bucket, develop a plan for geographically managing your data.
如果您选择区域存储资源（如BigQuery数据集或CloudStorage存储分区），请制定按地理位置管理数据的计划。

Google BigQuery is a RESTful web service that enables interactive analysis of massively large datasets working in conjunction with Google Storage.
BigQuery是一个RESTful的Web服务，可以对与GoogleStorage结合使用的大型数据集进行交互式分析。

Examples include Amazon's Redshift hosted BI data warehouse, Google's BigQuery data analytics service, IBM's Bluemix cloud platform and Amazon's Kinesis data processing service.
实例包括亚马逊Redshift所托管的BI数据仓库、谷歌BigQuery数据分析服务、IBMBluemix云平台，以及亚马逊Kinesis数据处理服务等。

BigQuery provides external access to the Dremel technology,[4][5] a scalable, interactive ad hoc query system for analysis of read-only nested data.
BigQuery提供对Dremel技术的外部访问[4][5]，是一个可扩展的交互式即席查询系统，用于分析只读嵌套数据。

Google has also recently updated its BigQuery service so it can now ingest up to 100,000 rows per second per table, and BigQuery uses SQL.
谷歌最近也更新了其BigQuery服务，所以现在每秒每张表最多能消化吸收100000行，而BigQuery就使用SQL。

BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure.
BigQuery是一种企业数据仓库，它通过使用Google基础架构的强大处理能力实现超快速SQL查询，从而解决此问题。

Moreover, through BigQuery data users can create visualizations, transforms and machine learning models using the Google Cloud Lab and Data Studio.
除此之外，通过BigQuery数据，用户可以使用GoogleCloudLab和DataStudio创建可视化、转换和机器学习模型。