batch processing system

简明释义

批量处理系统

英英释义

例句

1.In the finance sector, a batch processing system is essential for processing payroll every month.

在金融行业，批处理系统对于每月处理工资至关重要。

2.Our new batch processing system allows us to run multiple jobs simultaneously, saving time.

我们的新批处理系统允许我们同时运行多个任务，从而节省时间。

3.Using a batch processing system can reduce errors that may occur during manual data entry.

使用批处理系统可以减少手动输入数据时可能出现的错误。

4.The batch processing system processes orders overnight, ensuring they are ready by morning.

该批处理系统在夜间处理订单，确保早上准备好。

5.The company uses a batch processing system to handle large volumes of data efficiently.

公司使用批处理系统高效处理大量数据。

作文

In the realm of computer science, there are various methods and systems that help manage data processing efficiently. One such method is known as a batch processing system. This system is designed to process a large volume of data in groups or batches rather than handling it one piece at a time. The concept of batch processing has been around for decades and remains relevant in today’s computing environments.A batch processing system operates by collecting data over a period of time and then processing it all at once. This approach can be particularly beneficial in scenarios where immediate processing is not necessary. For example, payroll systems often utilize batch processing systems to calculate employee salaries at the end of a pay period. Instead of calculating each employee’s salary individually in real-time, the system gathers all the data and processes it in one go, which saves time and resources.One of the main advantages of using a batch processing system is its efficiency. Since the system processes data in bulk, it can optimize resource usage, leading to faster overall processing times. Additionally, it allows for better management of system resources, as the system can allocate processing power and memory more effectively when dealing with large sets of data at once.However, there are also some drawbacks to consider. The most significant limitation of a batch processing system is the delay in processing. Since data is collected over time and processed later, there can be a lag between when data is generated and when it is acted upon. This delay may not be suitable for applications that require real-time data processing, such as online transaction processing systems.Another challenge associated with batch processing systems is error handling. When processing a large batch of data, if an error occurs, it can be difficult to identify the specific data point that caused the issue. This can lead to complications in data integrity and necessitate additional time for debugging and corrections.Despite these challenges, batch processing systems are widely used in various industries, including finance, healthcare, and manufacturing. In finance, for instance, banks utilize these systems to process transactions at the end of the day, ensuring that all activities are accounted for before closing their books. Similarly, in healthcare, patient records can be updated in batches, allowing for efficient management of large datasets.In conclusion, a batch processing system is a powerful tool for managing large volumes of data efficiently. By processing data in batches, organizations can optimize their resources and improve overall productivity. While there are limitations related to processing delays and error handling, the benefits often outweigh the drawbacks, making it a popular choice for many businesses. As technology continues to advance, we can expect to see further developments in batch processing systems, enhancing their capabilities and applications across various sectors.

在计算机科学领域，有多种方法和系统可以有效管理数据处理。其中一种方法被称为批处理系统。该系统旨在一次性处理大量数据，而不是逐个处理。这种批处理的概念已经存在了几十年，并且在今天的计算环境中仍然保持相关性。批处理系统通过在一段时间内收集数据，然后一次性处理所有数据来运行。这种方法在不需要立即处理的场景中特别有利。例如，工资系统通常利用批处理系统在支付周期结束时计算员工工资。系统不是实时地单独计算每位员工的工资，而是收集所有数据并一次性处理，这节省了时间和资源。使用批处理系统的主要优点之一是其高效性。由于系统以批量方式处理数据，它可以优化资源使用，从而加快整体处理速度。此外，它还允许更好地管理系统资源，因为在处理大量数据时，系统可以更有效地分配处理能力和内存。然而，也有一些缺点需要考虑。使用批处理系统最显著的限制是处理延迟。由于数据是在一段时间内收集的，并在稍后处理，因此可能会在数据生成和采取行动之间出现延迟。这种延迟可能不适合需要实时数据处理的应用程序，例如在线交易处理系统。与批处理系统相关的另一个挑战是错误处理。在处理大量数据时，如果发生错误，可能很难确定导致问题的具体数据点。这可能会导致数据完整性方面的复杂性，并需要额外的时间进行调试和修正。尽管面临这些挑战，批处理系统在金融、医疗保健和制造等多个行业中得到了广泛应用。例如，在金融领域，银行利用这些系统在一天结束时处理交易，确保在关闭账簿之前所有活动都得到记录。同样，在医疗保健中，患者记录可以批量更新，从而实现对大型数据集的有效管理。总之，批处理系统是管理大量数据的一种强大工具。通过批量处理数据，组织可以优化资源并提高整体生产力。尽管与处理延迟和错误处理相关的限制，但其带来的好处往往超过缺点，使其成为许多企业的热门选择。随着技术的不断进步，我们可以期待看到批处理系统的进一步发展，增强其在各个领域的能力和应用。