retrieval time

简明释义

恢复时间

英英释义

例句

1.In cloud computing, minimizing retrieval time 检索时间 is crucial for a better user experience.

在云计算中，最小化检索时间对于更好的用户体验至关重要。

2.Our team is working on reducing the retrieval time 检索时间 of the API to enhance performance.

我们的团队正在努力减少API的检索时间以提高性能。

3.The application uses caching to improve retrieval time 检索时间 for frequently accessed data.

该应用程序使用缓存来改善频繁访问数据的检索时间。

4.The database optimization significantly reduced the retrieval time 检索时间 for large queries.

数据库优化显著减少了大查询的检索时间。

5.Users reported that the retrieval time 检索时间 for their search results improved after the update.

用户报告说，在更新后，他们的搜索结果的检索时间有所改善。

作文

In the digital age, the efficiency of information access has become a critical factor for both individuals and organizations. One of the key metrics that defines this efficiency is the retrieval time, which refers to the duration it takes to locate and access specific data from a storage system. Understanding retrieval time is essential for optimizing processes in various fields, including data management, software development, and even everyday tasks like searching for files on a computer.To illustrate the importance of retrieval time, let us consider a scenario in a corporate environment. Imagine an employee tasked with preparing a report for an upcoming meeting. If the employee needs to gather data from multiple databases, the retrieval time for each database will significantly impact the overall time required to complete the report. A long retrieval time can lead to delays, increased stress, and even missed deadlines, which can have serious consequences for the organization.Moreover, in today’s fast-paced world, customers expect quick access to information. For example, e-commerce platforms rely heavily on minimizing retrieval time to enhance user experience. When a customer searches for a product, they expect the results to appear almost instantaneously. If the retrieval time is too long, customers may become frustrated and abandon their shopping carts, leading to lost sales. Thus, businesses must invest in technologies and strategies that reduce retrieval time to stay competitive.Another area where retrieval time plays a crucial role is in academic research. Researchers often need to sift through vast amounts of literature to find relevant studies and data. The retrieval time can affect the efficiency of their research process. Database providers are continually working to improve search algorithms and indexing systems to ensure that researchers can find the information they need quickly. A reduction in retrieval time not only enhances productivity but also accelerates the pace of scientific discovery.Furthermore, advancements in technology have introduced various tools designed to optimize retrieval time. For instance, cloud computing allows users to store and access data remotely, often resulting in faster retrieval time compared to traditional storage solutions. Similarly, machine learning algorithms can analyze user behavior and predict what information is likely to be sought, thereby streamlining the retrieval process.In conclusion, retrieval time is a vital concept that affects numerous aspects of our lives, from workplace efficiency to customer satisfaction and academic research. By understanding and improving retrieval time, individuals and organizations can enhance their performance and achieve their goals more effectively. As we continue to navigate an increasingly data-driven world, prioritizing the reduction of retrieval time will remain a key strategy for success.

在数字时代，信息访问的效率已成为个人和组织的重要因素。定义这种效率的关键指标之一是检索时间，它指的是从存储系统中定位和访问特定数据所需的持续时间。理解检索时间对于优化各个领域的流程至关重要，包括数据管理、软件开发，甚至是日常任务，例如在计算机上搜索文件。为了说明检索时间的重要性，让我们考虑一个企业环境中的场景。想象一下，一名员工被委派准备即将召开的会议的报告。如果该员工需要从多个数据库中收集数据，则每个数据库的检索时间将显著影响完成报告所需的整体时间。较长的检索时间可能导致延误、增加压力，甚至错过截止日期，这对组织可能产生严重后果。此外，在当今快节奏的世界中，客户期望快速访问信息。例如，电子商务平台在很大程度上依赖于最小化检索时间来增强用户体验。当客户搜索产品时，他们希望结果几乎瞬间出现。如果检索时间过长，客户可能会感到沮丧并放弃他们的购物车，从而导致销售损失。因此，企业必须投资于减少检索时间的技术和策略，以保持竞争力。检索时间在学术研究中也发挥着至关重要的作用。研究人员经常需要浏览大量文献，以找到相关的研究和数据。检索时间可以影响他们研究过程的效率。数据库提供商不断努力改善搜索算法和索引系统，以确保研究人员能够快速找到所需的信息。减少检索时间不仅可以提高生产力，还可以加速科学发现的步伐。此外，技术的进步引入了各种旨在优化检索时间的工具。例如，云计算允许用户远程存储和访问数据，通常比传统存储解决方案导致更快的检索时间。同样，机器学习算法可以分析用户行为并预测可能被寻求的信息，从而简化检索过程。总之，检索时间是一个重要概念，影响我们生活的许多方面，从工作效率到客户满意度，再到学术研究。通过理解和改善检索时间，个人和组织可以提高其绩效，更有效地实现目标。随着我们继续在一个越来越以数据驱动的世界中航行，优先减少检索时间将始终是成功的关键战略。