在 英语 中使用 Query languages 的示例及其翻译为 中文
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The basic access mechanism is to use query languages like SQL.
基本访问机制是使用SQL等查询语言。SQL-like query languages are like the Star Wars Holiday Special.
Developers have traditionally been averse to learning new query languages.
一般来说，开发人员一直不愿意学习新的查询语言。We will also look at various query languages and compare their use cases.
我们还将查看各种查询语言并比较它们的用例。It's not a particularly accurate name,as many are adopting SQL-like query languages of their own.
这不是一个特别准确的名称，因为许多人采用自己的类似SQL的查询语言。Interestingly, the query languages used for each aren't all that different.
有趣的是，每个使用的查询语言并非都是不同的。Some NoSQL databases added their own“SQL-like” query languages, like Cassandra's CQL.
一些NoSQL数据库添加了自己的“类SQL”查询语言，比如Cassandra的CQL。At that time, query languages relied on complex mathematical logic and notation.
当时的查询语言依赖于复杂的数学逻辑和符号。Some NoSQL databases added their own“SQL-like” query languages, like Cassandra's CQL.
一些NoSQL数据库添加了自己的“类SQL”的查询语言，如Cassandra的CQL。At that time, query languages relied on complex mathematical logic and notation.
那时候，查询语言依赖于复杂的数学逻辑和符号。As the name implies,* Elasticsearch* is designed to help users findmatches in a data set using multiple query languages and types.
顾名思义，*Elasticsearch*旨在帮助用户使用多种查询语言和类型在数据集中找出匹配项。NoSQL databases use different query languages, which makes traditional SQL injection techniques irrelevant.
Lt;/p><p>NoSQL数据库使用不同的查询语言，这使传统的SQL注入技术已经无效了。Digital databases are managed using database management systems to store, create, maintain, and search data,through database models and query languages.
数据库由数据库管理系统管理，通过数据模型和查询语言来存储、创建、维护和搜索数据。In Chapter 2 we compare several different data models and query languages, and see how they are appropriate to different situations.
第2章我们比较了多种不同的数据模型和查询语言，讨论各自的适用场景….The query languages built into parallel database systems are also used to express the type of computations supported by MapReduce.
内建于并行数据库系统的查询语言也可以用来表达这种MapReduce所支持的计算。In Chapter 2 we compare several different data models and query languages, and see how they are appropriate to different situations.
在第2章中，我们比较了几种不同的数据模型和查询语言，看看它们如何适用于不同的场景。XML query languages such as XPath 1.0 and the forthcoming XQuery provide rich mechanisms for extracting information from XML infosets.
XML查询语言（如XPath1.0和即将发布的XQuery）都提供了从XML信息集中提取信息的丰富机制。On the flip side,NoSQL databases are not only adding SQL-like query languages, but other capabilities of traditional SQL databases.
另一方面，NoSQL数据库不仅增加了类似SQL的查询语言，还增加了传统SQL数据库的其他功能。Efficient and simple methods to query them are essential andmust not be restricted to only those who have expertise in formal query languages.
查询这些数据库的高效且简单的方法是必不可少的，不能仅限于那些在正式查询语言中具有专业知识的人。Technical: Expertise in tools like R, MicroStrategy, and query languages like SQL and NoSQL are necessary to manipulate and analyze data.
技术：在R语言、MicroStrategy等工具，以及SQL和NoSQL等查询语言方面的专业知识是处理和分析数据所必需的.In the query languages, new databases utilize their own particular attributes, and they're not yet 100% compatible with the SQL utilized in relational databases.
在查询语言中，新的数据库使用自己的特性，目前还无法与关系数据库中使用的SQL完全兼容。The database service supports graph models Property Graph andW3C's RDF and their query languages Apache TinkerPop Gremlin and SPARQL.
支持流行的图形模型属性图和W3C的RDF，以及它们各自的查询语言ApacheTinkerPopGremlin和SPARQL。Query languages or data query languages(DQLs) are computer languages used to make queries in databases and information systems.
查询语言或数据查询语言（DataQueryLanguage,DQL）是用于从数据库或信息系统中查询数据的计算机语言。And, once you understand the SQL paradigm,chances are it will be easier to understand other query languages, which opens up an entire new universe.
而且，一旦你理解了SQL，你会发现它比其他查询语言更容易理解，从而开辟了一个全新的世界。Amazon Neptune supports open graph APIs for both Gremlin and SPARQL,and provides high performance for both of these graph models and their query languages.
AmazonNeptune支持Gremlin和SPARQL的开放图谱API，并为这些图形模型及其查询语言提供高性能。The service supports popular graph models like Apache TinkerPop and W3C's RDF,and their associated query languages: TinkerPop Gremlin and RDF SPARQL.
支持流行的图形模型属性图和W3C的RDF，以及它们各自的查询语言ApacheTinkerPopGremlin和SPARQL。Announced in November 2017, it supports the Property Graph and RDF models,as well as the Apache TinkerPop Gremlin and SPARQL query languages.
亚马逊公司于2017年11月推出，它支持PropertyGraph和RDF模型，以及ApacheTinkerPopGremlin和SPARQL查询语言。It supports multiple graphs, including Property Graph and W3C's RDF,along with their respective query languages Apache TinkerPop, Gremlin, and SPARQL.
支持流行的图形模型属性图和W3C的RDF，以及它们各自的查询语言ApacheTinkerPopGremlin和SPARQL。
