datal

简明释义

英[ˈdeɪtəl]美[ˈdeɪtəl]

adj. 包含日期的

n. 按日计算工资

英英释义

单词用法

同义词

反义词

例句

1.It supports data link platforms with different tests, evaluations and trainings effectively, by adopting the technology of gateway, data base, and standard datal ink system.

采用集中分布式的系统架构，利用网关接入技术、数据库技术，以及标准的基准系统，有效地支持了数据链平台以多种方式开展测试评估及训练演练。

2.It supports data link platforms with different tests, evaluations and trainings effectively, by adopting the technology of gateway, data base, and standard datal ink system.

采用集中分布式的系统架构，利用网关接入技术、数据库技术，以及标准的基准系统，有效地支持了数据链平台以多种方式开展测试评估及训练演练。

3.The new software can analyze large sets of datal (数据) quickly.

新软件可以快速分析大量的datal（数据）。

4.We need to collect more datal (数据) for our research project.

我们需要收集更多的datal（数据）用于我们的研究项目。

5.The accuracy of the model depends on the quality of the datal (数据) used.

模型的准确性取决于所使用的datal（数据）的质量。

6.In order to improve customer service, we analyzed customer datal (数据).

为了改善客户服务，我们分析了客户的datal（数据）。

7.The datal (数据) from the survey revealed interesting trends.

调查中的datal（数据）揭示了有趣的趋势。

作文

In the modern world, the term datal refers to the vast amount of information that is generated, collected, and analyzed across various fields. This concept has become increasingly important as we navigate through an age dominated by technology and data-driven decision-making. Understanding datal is crucial for individuals and organizations alike, as it influences everything from business strategies to personal choices. The rise of the internet and digital technology has led to an explosion of datal. Every click, purchase, and interaction online produces data that can be harnessed for insights. For businesses, this means that they can analyze consumer behavior and preferences to tailor their products and marketing strategies effectively. The ability to interpret datal allows companies to stay competitive in a rapidly changing market. Moreover, datal plays a significant role in scientific research and innovation. Researchers rely on data to validate hypotheses, track progress, and make informed decisions. In fields such as healthcare, the analysis of datal can lead to breakthroughs in treatment and patient care. The use of big data analytics has transformed how medical professionals approach diagnostics and treatment plans, ultimately improving patient outcomes. However, with the benefits of datal come challenges. Privacy concerns have emerged as a significant issue, as individuals become more aware of how their information is being used. The ethical implications of datal collection and usage must be carefully considered. Organizations need to implement robust data protection measures to safeguard personal information and maintain public trust. Furthermore, the sheer volume of datal available can be overwhelming. Without the right tools and expertise, it can be challenging to extract meaningful insights. This has led to a growing demand for data analysts and scientists who can sift through datal and identify trends that are not immediately apparent. Education systems are adapting to this demand by offering courses and programs focused on data literacy and analytics. In conclusion, datal is a powerful resource that shapes our world in countless ways. Its impact is felt across industries, influencing decisions and driving innovation. As we continue to generate and rely on datal, it is essential to approach it thoughtfully, balancing the benefits with the ethical considerations it entails. By doing so, we can harness the full potential of datal while ensuring a responsible and sustainable future for all stakeholders involved.

在现代世界中，术语datal指的是在各个领域生成、收集和分析的大量信息。随着我们在一个以技术和数据驱动决策为主导的时代中航行，这一概念变得越来越重要。理解datal对个人和组织来说都是至关重要的，因为它影响着从商业战略到个人选择的一切。 互联网和数字技术的崛起导致了datal的爆炸性增长。每一次点击、购买和在线互动都会产生数据，这些数据可以用于获取洞见。对于企业来说，这意味着他们可以分析消费者的行为和偏好，以有效地调整他们的产品和营销策略。解读datal的能力使公司能够在快速变化的市场中保持竞争力。 此外，datal在科学研究和创新中也发挥着重要作用。研究人员依赖数据来验证假设、跟踪进展并做出明智的决策。在医疗保健等领域，datal的分析可以导致治疗和患者护理方面的突破。大数据分析的使用改变了医疗专业人员处理诊断和治疗计划的方法，最终改善了患者的结果。 然而，伴随着datal的好处，挑战也随之而来。隐私问题已成为一个重大议题，个人越来越意识到他们的信息是如何被使用的。必须仔细考虑datal收集和使用的伦理影响。组织需要实施强有力的数据保护措施，以保护个人信息并维护公众信任。 此外，现有的datal数量庞大可能会让人感到不知所措。没有合适的工具和专业知识，从中提取有意义的洞见可能会很困难。这导致对数据分析师和科学家的需求不断增长，他们可以筛选datal并识别那些并不立即显现的趋势。教育系统正在通过提供专注于数据素养和分析的课程和项目来适应这一需求。 总之，datal是一个强大的资源，塑造着我们世界的无数方式。它的影响遍及各个行业，影响着决策并推动创新。随着我们继续生成和依赖datal，以深思熟虑的方式接近它是至关重要的，平衡其带来的好处与道德考虑。通过这样做，我们可以充分利用datal的潜力，同时确保所有相关方的负责任和可持续的未来。