The TDMLoad stage supports both data load and export.
TDMLoad工作台支持数据加载和导出。
We've illustrated specific tasks including data load and unload.
我们已经阐明了包括数据加载和卸载在内的特定任务。
Teradata load stage - provides a bulk data load solution that USES the Teradata FastLoad utility.
TeradataLoad工作台—提供了一个使用teradataFastLoad实用工具的批量数据加载解决方案。
Two main steps are required to set up the LoadDataUsingBulkLoad Teradata connector for the bulk data load operation.
为批量数据加载操作设置LoadDataUsingBulkLoadTeradata连接器需要两个主要步骤。
The connector supports performing the data load operation using multiple processes running on multiple computing nodes.
连接器支持使用在多个计算节点中运行的多个进程来执行数据加载操作。
Teradata Enterprise stage - a parallel bulk data load and export solution using multiple FastLoad and FastExport sessions.
TeradataEnterprise工作台—使用多个FastLoad和FastExport会话的并行批量数据加载和导出解决方案。
Select the Truncate table action to delete all the existing rows in the Orders table before the data load operation starts.
在数据加载操作开始之前，选择truncate表操作删除orders表中的所有已有行。
Figure 29 shows how to set up the TDMLoad data load operation. The following describes how the TDMLoad stage works for the data load operation.
图29展示了如何设置TDMLOAD数据加载操作。
Now, IDS also supports this feature to allow you to easily perform your data load and unload operations with highest performance and flexibility.
现在，IDS也支持这个特性，允许您轻松执行数据加载和卸载操作，从而获取最高的性能和最大的灵活性。
These two parameters specify the maximum number of sessions used for the data load operation and the maximum number of session used by each loading process.
这两个参数指定用于数据加载操作的最大会话数量，以及各加载进程所使用的最大会话数量。
It allows applications to perform constant data load operations to a table in the background while the interactive read and write operations can occur concurrently.
它允许应用程序在后台对表执行恒定数据加载操作，同时可以执行交互式读取和写入操作。
Now that the MTK is aware of the source database and the tables which need to have data extracted, you can generate data extraction scripts and data load scripts for DB2.
至此，MTK已经知道源数据库以及需要提取数据的表，现在就可以生成用于 DB2的数据提取脚本和数据加载脚本。
These patterns deal with the build and the operational phase of MDM solutions, and are therefore related on ETL, initial data load, and patterns related to build MDM hubs.
这些模式处理MDM解决方案的构建和操作阶段，因此包括与ETL、初始数据装载和构建 MDMhub相关的模式。
The article introduces the RDP Direct load approach, and then covers the basic steps on how to set up the MDM Server environment for initial data load with high performance.
本文首先介绍RDP DirectLoad方法，然后讨论为初始数据加载设置高性能的MDMServer环境的基本步骤。
As the DAOS repository grows to accommodate a greater number of attachments, multiple subdirectories are automatically created on the DAOS base path to balance the data load.
随着DAOS储存库的扩大，为了容纳更多数量的附件，DAOS基本路径上会自动创建多个子目录，以平衡数据负载。
Then, this paper analyzes the function of data exchange communication component, data exchange adapter component and data load component which are parts of data exchange node.
接下来，简要分析了数据交换节点上数据交换通信组件、数据交换适配器组件、数据加载组件的功能。
The data load is carried in the third handshake packet, so the data transmission efficiency is improved, the data transmission time is saved, and the user experience is improved.
在本发明实施例中，在“三次握手”中的第三个握手包中同时携带了数据载荷，提高了数据传输的效率，节省了数据传输的时间，提升了用户体验。
As of Version 8, the load utility places locks on the table itself, and you can enjoy concurrent access to other table objects in the same table Spaces while a data load operation is running.
到了Version8,load工具在表本身上放置锁，因而您可以在运行数据加载操作的同时，对相同表空间中的其他表对象进行并发访问。
Although the architecture is simple, Hadoop provides an easy way to distribute data, load balance, and parallel process large amounts of data in a fault-tolerant way.
尽管架构很简单，但是Hadoop能够方便地实现数据分发、负载平衡以及以容错的方式并行处理大量数据。
Although the architecture is simple, Hadoop provides an easy way to distribute data, load balance, and parallel process large amounts of data in a fault-tolerant way.
尽管架构很简单，但是Hadoop能够方便地实现数据分发、负载平衡以及以容错的方式并行处理大量数据。
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