What is the translation of " BIGQUERY " in English?

• bigquery

Examples of using Bigquery in Chinese and their translations into English

目前，将数据加载到BigQuery是免费的。
Data transfer towards BigQuery is free.

以下是对BigQuery中可用的所有指标的评论。
Here is a review of all the metrics available in BigQuery.

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

共置BigQuery数据集和外部数据源。
Colocate your BigQuery dataset and your external data source.

本页面简要介绍了如何查询存储在BigQuery以外的数据。
This page provides an overview of querying data stored outside of BigQuery.

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。
You can also use Google BigQuery to retrieve data relating to your domain and browse it in a more granular way.

首先，可以通过新的beta程序在Sheets中动态访问BigQuery的数据。
First of all, data from BigQuery can be dynamically accessed in Sheets through a new beta program.

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。
One place this technology is being used is as part of our experimental encrypted BigQuery client, which is openly available.

如果需要优先考虑查询速度，请将数据加载到BigQuery中，而不要设置外部数据源。
If query speed is a priority, load the data into BigQuery instead of setting up an external data source.

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。
There are no charges for exporting data from BigQuery, but you do incur charges for storing the exported data in Cloud Storage.

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。
Drill is the open source version of Google's Dremel system which is available as an IaaS service called Google BigQuery.

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 BigQuery Service is a Web service that enables you to do interactive analysis of massively large datasets-up to billions of rows.

开发人员和数据科学家可使用它对BigQuery、CloudStorage或本地存储中的数据进行探索、分析和可视化。
Developers and data scientists can analyze and visualize data in a BigQuery data warehouse, cloud storage, or local storage.

我们的分析师非常依赖他们自己的分析工具，他们希望在BigQuery之上使用它们，”他说。
Our analysts were very attached to their own set of analytics tools, which they wanted to use on top of BigQuery," says Simon.

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。
Google was first to market with a revolutionary service called BigQuery in 2011 that solves the same problem in a completely different way.

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。
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.

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。
BigQuery, our fully managed serverless data warehouse, allows you to quickly find meaningful insights without having to manage infrastructure.

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。
BigQuery has strong OLAP capabilities to support this type of analysis, ad-hoc and in general, without requiring additional API implementation.

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。
More recently, low-cost offerings such as Amazon Redshift, Google BigQuery, and even Microsoft Azure, have moved data warehousing to the cloud.

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。
Google BigQuery is a RESTful web service that enables interactive analysis of massively large datasets working in conjunction with Google Storage.

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。
More recently, low-cost offerings such as Amazon Redshift, Google BigQuery, and even Microsoft Azure, have moved data warehousing to the cloud.

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。
BigQuery provides external access to the Dremel technology,[4][5] a scalable, interactive ad hoc query system for analysis of read-only nested 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。
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.

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。
Moreover, through BigQuery data users can create visualizations, transforms and machine learning models using the Google Cloud Lab and Data Studio.

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。
BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure.

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。
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.

BigQueryDataTransferService可按预定安排自动将数据从SaaS应用转移到GoogleBigQuery，整个过程由Google托管。
The BigQuery Data Transfer Service automates data movement from SaaS applications to Google BigQuery on a scheduled, managed basis.