Hollerith field

简明释义

1. 霍勒里思域; 2. H域;

英英释义

例句

1.The census data was encoded using Hollerith fields for efficient data entry.

人口普查数据使用霍勒瑞字段进行编码，以实现高效的数据录入。

2.Each Hollerith field contains specific information about the individual records.

每个霍勒瑞字段包含有关单个记录的特定信息。

3.The programmer explained how to manipulate Hollerith fields in the software application.

程序员解释了如何在软件应用中操作霍勒瑞字段。

4.In our database, we use Hollerith fields to categorize different types of data.

在我们的数据库中，我们使用霍勒瑞字段对不同类型的数据进行分类。

5.The data was organized into a Hollerith field to facilitate easier processing.

数据被组织成霍勒瑞字段以便于更简单的处理。

作文

In the realm of data processing and information technology, understanding various terminologies is essential for effective communication. One such term that often arises in discussions about early computing and data management is the Hollerith field. Named after Herman Hollerith, an American inventor who developed the first practical method for processing data using punched cards, the Hollerith field refers to a specific area within a data record that is designated for storing a particular piece of information. This concept is crucial in the context of databases and data structures, where organizing data efficiently can significantly impact performance and usability.Hollerith's innovation revolutionized the way data was collected and analyzed, particularly during the 1890 U.S. Census, which was conducted using his punched card system. The Hollerith field serves as a reminder of the evolution of data processing techniques. In modern database systems, fields are analogous to columns in a table, where each field holds a specific type of data. For instance, in a customer database, there may be fields for name, address, and phone number. Each of these would correspond to a Hollerith field in the original punched card system, demonstrating how foundational concepts have persisted through technological advancements.The significance of the Hollerith field extends beyond its historical context; it also plays a vital role in contemporary data management practices. When designing databases, developers must carefully consider how to structure their data fields to ensure efficient retrieval and storage. Each Hollerith field must be defined with the appropriate data type, which can range from integers to strings or even more complex data structures. This consideration is crucial because it affects how data is processed, stored, and indexed within the database.Moreover, the concept of the Hollerith field highlights the importance of standardization in data management. Just as Hollerith's punched card system required a standardized approach to data entry and processing, modern databases rely on standardized data formats and protocols. This standardization ensures that data can be easily shared and understood across different systems and platforms, facilitating interoperability and collaboration in the digital age.As we delve deeper into the era of big data and artificial intelligence, the relevance of the Hollerith field becomes even more pronounced. With vast amounts of data being generated every second, the ability to organize and categorize this information efficiently is paramount. Advanced data analytics tools often utilize concepts derived from the Hollerith field to process and analyze data sets, allowing organizations to derive insights and make informed decisions.In conclusion, the Hollerith field is not merely a historical artifact but a fundamental concept that continues to shape our understanding of data management. Its origins in the innovative work of Herman Hollerith laid the groundwork for modern computing and database design. By recognizing the significance of the Hollerith field, we can appreciate the evolution of data processing technologies and their impact on our world today. As we move forward, the principles associated with the Hollerith field will undoubtedly remain relevant, guiding us in navigating the complexities of data in an increasingly digital landscape.

在数据处理和信息技术领域，理解各种术语对于有效沟通至关重要。其中一个常常出现在关于早期计算和数据管理讨论中的术语是霍勒里斯字段。这个术语以美国发明家赫尔曼·霍勒里斯的名字命名，他开发了使用打孔卡片处理数据的第一种实用方法。霍勒里斯字段指的是数据记录中专门用于存储特定信息的一块区域。这个概念在数据库和数据结构的背景下至关重要，因为高效组织数据可以显著影响性能和可用性。霍勒里斯的创新彻底改变了数据收集和分析的方式，特别是在1890年美国人口普查期间，该普查使用了他的打孔卡系统。霍勒里斯字段提醒我们数据处理技术的演变。在现代数据库系统中，字段类似于表中的列，每个字段保存特定类型的数据。例如，在客户数据库中，可能会有姓名、地址和电话号码的字段。这些字段中的每一个都对应于原始打孔卡系统中的霍勒里斯字段，这表明基础概念如何在技术进步中持续存在。霍勒里斯字段的重要性超越了其历史背景；它在当代数据管理实践中也发挥着至关重要的作用。在设计数据库时，开发人员必须仔细考虑如何构建他们的数据字段，以确保高效检索和存储。每个霍勒里斯字段都必须用适当的数据类型进行定义，这可以是整数、字符串或甚至更复杂的数据结构。这一考虑至关重要，因为它影响数据在数据库中的处理、存储和索引方式。此外，霍勒里斯字段的概念突显了数据管理标准化的重要性。正如霍勒里斯的打孔卡系统需要一种标准化的方法来进行数据输入和处理，现代数据库依赖于标准化的数据格式和协议。这种标准化确保数据可以在不同系统和平台之间轻松共享和理解，从而促进数字时代的互操作性和协作。随着我们深入大数据和人工智能的时代，霍勒里斯字段的相关性变得更加明显。随着每秒钟生成大量数据，有效组织和分类这些信息的能力至关重要。先进的数据分析工具通常利用源自霍勒里斯字段的概念来处理和分析数据集，使组织能够获得洞察并做出明智的决策。总之，霍勒里斯字段不仅仅是一个历史文物，而是一个继续塑造我们对数据管理理解的基本概念。赫尔曼·霍勒里斯的创新工作奠定了现代计算和数据库设计的基础。通过认识到霍勒里斯字段的重要性，我们可以欣赏数据处理技术的演变及其对我们今天世界的影响。随着我们向前发展，与霍勒里斯字段相关的原则无疑将继续保持相关性，引导我们在日益数字化的环境中应对数据的复杂性。