retrieving

简明释义

英[rɪˈtriːvɪŋ]美[rɪˈtrivɪŋ]

v. 取回，索回；检索数据；挽回，找回；收绕钓鱼线；捡起；回忆；（狗）找到并衔回（中枪猎物）（retrieve 的现在分词）

英英释义

单词用法

同义词

反义词

例句

1.Retrieving source code from various repositories.

从各种存贮空间中恢复源代码。

2.Listing 8: Retrieving and displaying contacts.

清单8：检索和显示联系人。

3.Retrieving worksheet data as arrays.

以数组形式检索工作表数据。

4.Retrieving only the data you need is one way to do this.

只检索需要的数据是做到这一点的方式之一。

5.Retrieving information about individual places.

获取关于单个位置的信息。

6.A client regularly polls a queue, retrieving any message of interest.

客户端会定期去轮询队列，检索任何感兴趣的消息。

7.The search engine is retrieving relevant articles based on your query.

搜索引擎正在根据您的查询检索相关的文章。

8.The dog is trained to retrieve the ball after you throw it.

这只狗经过训练，可以在你扔出球后检索回球。

9.The computer is retrieving your files from the cloud.

计算机正在检索您的云端文件。

10.He is retrieving data from the database for his research.

他正在为他的研究从数据库中检索数据。

11.She spent hours retrieving old photographs from the attic.

她花了几个小时在阁楼上检索旧照片。

作文

In today's digital age, the ability to efficiently manage and access information is more important than ever. One of the key processes involved in this management is retrieving (获取) data from various sources. Whether it is through search engines, databases, or cloud storage, the act of retrieving (获取) information has become a fundamental skill for individuals and organizations alike.To understand the significance of retrieving (获取) data, we must first consider the sheer volume of information available. With the internet hosting billions of web pages and countless databases, finding relevant information can be overwhelming. This is where the process of retrieving (获取) comes into play. It involves searching through vast amounts of data to locate specific pieces of information that meet our needs.For instance, students often engage in retrieving (获取) information for their research papers. They may use academic databases, online journals, and library catalogs to find credible sources. The effectiveness of their research largely depends on their ability to efficiently retrieve (获取) relevant information. If they struggle with this process, they may end up with incomplete or irrelevant data, which could affect the quality of their work.Moreover, businesses rely heavily on retrieving (获取) data to make informed decisions. Companies collect vast amounts of data from customer interactions, sales transactions, and market research. The ability to retrieve (获取) this data quickly and accurately allows businesses to analyze trends, understand customer preferences, and ultimately improve their products and services. For example, a retail company might use data analytics tools to retrieve (获取) sales data from different regions, helping them identify which products are performing well and which ones need improvement.The process of retrieving (获取) information can also be enhanced through technology. Advanced algorithms and artificial intelligence have revolutionized how we search for and access data. Search engines like Google utilize complex algorithms to retrieve (获取) the most relevant results based on user queries. This means that users can find the information they need in a matter of seconds, making the process much more efficient.However, it is essential to approach retrieving (获取) information with a critical mindset. Not all information available online is accurate or trustworthy. Therefore, individuals must develop skills to evaluate the credibility of sources when retrieving (获取) data. This includes checking the author's qualifications, the publication date, and the overall reputation of the source.In conclusion, the act of retrieving (获取) information is an invaluable skill in our information-driven world. Whether for academic purposes, business analysis, or personal knowledge, being able to efficiently retrieve (获取) relevant data is crucial. As we continue to navigate through an ever-expanding sea of information, honing our retrieving (获取) skills will empower us to make better decisions and enhance our understanding of the world around us.

在当今数字时代，有效管理和访问信息的能力比以往任何时候都更加重要。这个管理过程中涉及的关键过程之一就是retrieving（获取）数据。无论是通过搜索引擎、数据库还是云存储，retrieving（获取）信息的行为已经成为个人和组织共同的基本技能。要理解retrieving（获取）数据的重要性，我们首先必须考虑可用信息的庞大数量。互联网托管着数十亿个网页和无数个数据库，找到相关信息可能会让人感到不知所措。这时，retrieving（获取）过程就发挥了作用。它涉及搜索大量数据，以定位满足我们需求的特定信息。例如，学生通常会为他们的研究论文进行retrieving（获取）信息。他们可能会使用学术数据库、在线期刊和图书馆目录来寻找可信的来源。他们研究的有效性很大程度上取决于他们高效retrieving（获取）相关信息的能力。如果他们在这个过程中遇到困难，他们可能最终会得到不完整或不相关的数据，这可能会影响他们工作的质量。此外，企业在做出明智决策时也高度依赖于retrieving（获取）数据。公司从客户互动、销售交易和市场研究中收集大量数据。迅速而准确地retrieving（获取）这些数据的能力使企业能够分析趋势、了解客户偏好，并最终改善其产品和服务。例如，一家零售公司可能会使用数据分析工具来retrieving（获取）来自不同地区的销售数据，帮助他们识别哪些产品表现良好，哪些需要改进。Retrieving（获取）信息的过程也可以通过技术得到增强。先进的算法和人工智能已经彻底改变了我们搜索和访问数据的方式。谷歌等搜索引擎利用复杂的算法来retrieving（获取）基于用户查询的最相关结果。这意味着用户可以在几秒钟内找到他们所需的信息，从而使这一过程变得更加高效。然而，重要的是以批判性的思维方式对待retrieving（获取）信息。并非所有在线可用的信息都是准确或值得信赖的。因此，个人必须培养在retrieving（获取）数据时评估来源可信度的技能。这包括检查作者的资格、出版日期以及来源的整体声誉。总之，在我们以信息为驱动的世界中，retrieving（获取）信息的行为是一项无价的技能。无论是出于学术目的、商业分析还是个人知识，能够高效地retrieving（获取）相关数据至关重要。随着我们继续在不断扩展的信息海洋中航行，提升我们的retrieving（获取）技能将使我们能够做出更好的决策，并增强我们对周围世界的理解。