与直接的提取和加载操作不同，转换是最复杂的部分。因为在此过程中需要对数据进行理解、转换、聚集和计算。
Unlike straightforward extract and load operations, transformation is the most complicated piece, as there is a need to understand, convert, aggregate, and calculate data.
鉴于十年以来的数据增长，OLTP服务器现在也在处理大规模数据，这就需要一个优化工具来执行提取、转换和加载(etl)操作。
Considering the data growth in the last decade, OLTP servers are also handling a massive amount of data that demands an optimal tool for performing extract, transform, and load (ETL) operations.
数据通过标准的提取、转换和加载(etl)连接器加载，然后可供商业智能和分析应用程序进行查询。
Data is loaded through standard extract, transform, and load (ETL) connectors, and is then available for queries from business intelligence and analytics applications.
常见的需求是将Notes数据提取到DataStage中、执行解压、转换和加载(etl)，然后将此数据传递给其他InformationServer模块以便于完成更多etl处理。
The common requirement is to fetch Notes data into DataStage, perform an extract, transform, and load (ETL), and then pass this data to other Information Server modules for more ETL processing.
微软与Unisys公司宣布了一项纪录，它是关于关系数据库的数据提取，转换和加载(etl的)工具。
Microsoft and Unisys announced a record for loading data into a relational database using an Extract, Transform and load (ETL) tool.
为此，一个常见的做法就是，建立一个数据仓库，然后抽取、转换和加载来自这些不同应用软件的数据，为来自这多个应用软件的数据提供统一视图。
One common way to do this is to build a data warehouse and extract, transform and load data from these diverse applications to deliver a common view of data from across these multiple applications.
为此，一个常见的做法就是，建立一个数据仓库，然后抽取、转换和加载来自这些不同应用软件的数据，为来自这多个应用软件的数据提供统一视图。
One common way to do this is to build a data warehouse and extract, transform and load data from these diverse applications to deliver a common view of data from across these multiple applications.
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