数据准备 in English translation

• data preparation
• data prep
• data readiness

Examples of using 数据准备 in Chinese and their translations into English

这些工具适用于各种类别，包括数据集成、数据虚拟化、数据准备、ETL、数据质量和数据治理。
These tools fit into a variety of categories, including data integration, data virtualization, data preparation, ETL, data quality and data governance.

通过可视化的自助式数据准备工具，分析师可以更深入地研究数据，以便了解其结构并看出表格之间的关系。
Visual, self-service data prep tools allow analysts to dig deeper into the data to understand its structure and see relationships between tables.

虽然ARIMA是一个非常强大的预测时间序列数据的模型，但是数据准备和参数调整过程是非常耗时的。
Although ARIMA is a very powerful model for forecasting time series data, the data preparation and parameter tuning processes end up being really time consuming.

为此，我们在多个领域进行了投资：建议、智能数据准备、模型自动生成和自动探索。
We are investing in this space in a number of areas: Recommendations, smart data preparation, automatic model generation, and automated discovery.

另一方面，实时的数据更新也大大提高了分析人员的工作效率，省去了很多重复式的数据准备工作。
On the other hand, real-time data update also greatly improves the work efficiency of analysts and saves a lot of repetitive data preparation work.

您不会在对目的地还没有基本了解时就开始漫长的旅程，同样的逻辑也适用于数据准备。
You would not start a long journey without a basic understanding of where you're going, and the same logic applies to data prep.

例如，Facebook、谷歌和优步分别构建了FBLearnerFlow、TFX和Michelangelo来进行数据准备、模型训练和部署。
For example, Facebook, Google and Uber have built FBLearner Flow, TFX, and Michelangelo to manage data preparation, model training and deployment.

他们参与4个基本的法证分析：数据采集，数据准备，数据分析和报告。
They are involved in four basic areas of forensic analytics: data collection, data preparation, data analysis and reporting.

设计和制作活动将得到相关和详细的业务流程重新设计、遗留数据准备、数据清理以及变革管理的支持。
Design and build activities will be supported by associated detailed business process reengineering, legacy data preparation, data cleansing and change management.

如今，BI供应商已经在产品中采用AI技术来实现数据准备、数据发现与数据科学。
Today, BI vendors are already introducing AI capabilities in their products for data preparation, data discovery, and data science.

它们将合并最佳的自助式数据准备工具、HadoopCore和最终用户分析平台，并且合并方式可以根据此类需求的发展重新进行配置。
They will combine the best self-service data-prep tools, Hadoop Core, and end-user analytics platforms in ways that can be reconfigured as those needs evolve.

他们将结合最佳的自助服务数据准备工具、HadoopCore和最终用户分析平台，以便随需求发展而重新配置。
They will combine the best self-service data-prep tools, Hadoop Core, and end-user analytics platforms in ways that can be reconfigured as those needs evolve.

数据准备任务可能被实施多次，而且没有任何规定的顺序。
The data preparation tasks are likely to be performed multiple times and not in any prescribed order.

数据准备的第一步是探索数据来了解其性质，意义，质量和格式。
The first step in data preparation involves exploring the data to understand its nature, what it means, its quality, and format.

因此各实体需要优先处理和加速数据准备进程，以确保在准备期初结余时有准确的信息。
Entities therefore need to prioritize and accelerate the data preparation processes to ensure that accurate information is available for preparing opening balances.

Pig在数据准备阶段非常有用，因为它能够轻松执行复杂的连接和查询。
Pig is useful in the data preparation stage, as it can perform complex joins and queries easily.

EXCELPowerBI可连接数百个数据源、简化数据准备并提供即席分析。
Power BI allows you to connect hundreds of data sources, to simplify the data preparation and generate ad-hoc analyses.

有些人把这个过程称为“数据发现”，它是数据准备的基本要素。
Some people refer to this process as“a combo of data” and it is a fundamental element of data preparation.

虽然ARIMA是一个非常强大的预测时间序列数据的模型，但是数据准备和参数调整过程是非常耗时的。
Although ARIMA is a powerful model for forecasting time series, the effort to prepare the data and fine-tune the parameters is very time-consuming.

的受访者表示，他们正在构建或评估数据准备和清理解决方案。
Of survey respondents indicated they were building or evaluating solutions for data preparation and cleaning.