querying

简明释义

英[ˈkwɪəriɪŋ]美[ˈkwɪriɪŋ]

n. [计]查询

v. 询问；对……表示疑问（query 的 ing 形式）

英英释义

单词用法

同义词

反义词

例句

1.XQUERY: The native language for querying XML documents.

XQUERY：用来查询XML文档的本机语言。

2.The raw metadata structures are stored in an SQL-like database for easy querying.

初始的元数据结构储存在一个类似于SQL的数据库中，用于简单的检索。

3.Provides ad-hoc querying of data using SQL.

使用SQL支持特定数据查询

4.Querying composed or decomposed elements returns results with different structures.

查询组合或者分解的元素返回结构不同的结果。

5.Querying local XML data and nicknames with xquery.

用XQuery查询本地XML数据和昵称。

6.Create indexes for the column that your application is querying or updating.

为应用程序将查询或更新的列创建索引。

7.He is querying 查询 the API for the latest data updates.

他正在查询 查询API以获取最新的数据更新。

8.The detective started querying 调查 witnesses about their whereabouts during the incident.

侦探开始调查 调查目击者在事件发生时的行踪。

9.The customer service team is querying 询问 the system to resolve your complaint.

客服团队正在询问 询问系统以解决您的投诉。

10.She spent hours querying 询问 different sources to find the best travel deals.

她花了几个小时询问 询问不同的来源以找到最好的旅行优惠。

11.The database administrator is currently querying 查询 the server for user information.

数据库管理员正在查询 查询服务器上的用户信息。

作文

In today's fast-paced digital world, the ability to gather information quickly and efficiently is more important than ever. One of the key skills that individuals and organizations must develop is the art of querying (查询). Whether it's for academic research, business intelligence, or personal knowledge, knowing how to formulate effective questions can lead to deeper insights and better decision-making. Querying involves not just asking questions but also understanding the context in which those questions are posed. When we think about querying (查询), we often envision a search engine where we type in keywords and receive a list of results. However, querying is much more nuanced than that. It requires critical thinking and analytical skills to identify what information is truly needed. For example, a student working on a research paper must first define their thesis statement before querying (查询) databases for relevant articles. This initial step is crucial, as it helps narrow down the vast amount of available information to what is most pertinent to their topic.In the realm of business, querying (查询) plays a vital role in data analysis. Companies collect massive amounts of data every day, and being able to ask the right questions about this data can reveal trends and patterns that inform strategic decisions. For instance, a marketing team might use querying (查询) techniques to analyze customer behavior and preferences. By doing so, they can tailor their campaigns to better meet the needs of their target audience, ultimately driving sales and increasing customer satisfaction.Moreover, the rise of artificial intelligence has transformed the way we approach querying (查询). Natural language processing allows users to ask questions in a conversational manner, making it easier for people to extract information without needing to understand complex query languages. This democratization of information access means that more individuals can engage in querying (查询) effectively, regardless of their technical background.However, with the ease of querying (查询) comes the responsibility of ensuring that the information gathered is accurate and reliable. Not all sources are created equal, and it is essential to critically evaluate the credibility of the information obtained. This is particularly true in an era where misinformation can spread rapidly through social media and other online platforms. Therefore, part of mastering the skill of querying (查询) involves learning how to discern fact from fiction and recognizing bias in sources.In conclusion, querying (查询) is an indispensable skill in our information-rich society. Whether for academic purposes, business analysis, or personal growth, the ability to ask the right questions and seek out relevant information is crucial. As technology continues to evolve, so too will the methods we use for querying (查询). Embracing these changes while maintaining a critical eye will empower individuals to navigate the complexities of information in a meaningful way.

在当今快速发展的数字世界中，快速有效地收集信息的能力比以往任何时候都重要。个人和组织必须培养的关键技能之一是querying（查询）的艺术。无论是学术研究、商业智能还是个人知识，知道如何制定有效的问题可以带来更深刻的见解和更好的决策。Querying不仅仅是提出问题，还包括理解这些问题所处的背景。当我们想到querying（查询）时，我们常常想象一个搜索引擎，在那里我们输入关键词并收到结果列表。然而，querying远比这复杂。它需要批判性思维和分析能力，以确定真正需要的信息。例如，一名正在撰写研究论文的学生必须首先定义他们的论文陈述，然后再对数据库进行querying（查询），以寻找相关的文章。这一步骤至关重要，因为它有助于将可用信息的海量数据缩小到与他们的主题最相关的信息。在商业领域，querying（查询）在数据分析中发挥着至关重要的作用。公司每天都会收集大量的数据，而能够针对这些数据提出正确的问题可以揭示出有助于战略决策的趋势和模式。例如，市场营销团队可能会使用querying（查询）技术来分析客户行为和偏好。通过这样做，他们可以调整他们的活动，以更好地满足目标受众的需求，最终推动销售并提高客户满意度。此外，人工智能的兴起改变了我们处理querying（查询）的方法。自然语言处理使用户能够以对话的方式提问，使人们更容易提取信息，而无需理解复杂的查询语言。这种信息获取的民主化意味着更多的人可以有效地参与querying（查询），而不管他们的技术背景如何。然而，随着querying（查询）的便利性而来的责任是确保收集的信息准确可靠。并非所有来源都是平等的，至关重要的是要批判性地评估所获得信息的可信度。这在虚假信息可以通过社交媒体和其他在线平台迅速传播的时代尤其真实。因此，掌握querying（查询）技能的一部分涉及学习如何辨别事实与虚构，并识别来源中的偏见。总之，querying（查询）是在我们信息丰富的社会中不可或缺的技能。无论是出于学术目的、商业分析还是个人成长，提出正确的问题并寻找相关信息的能力至关重要。随着技术的不断发展，我们用于querying（查询）的方法也将不断演变。在拥抱这些变化的同时保持批判的眼光，将使个人能够以有意义的方式驾驭信息的复杂性。