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Rule-based extraction, transformation, and loading of data between disparate data sources

机译:不同数据源之间基于规则的数据提取,转换和加载

摘要

Methods and apparatus are presented for extracting, transforming, and loading data from one database to another database. For example, an extraction, transformation, and loading (ETL) component may access an operational log of a given database in order to detect an update to the database. Upon detecting the update, the ETL component may extract a subset of data from the operational log, where the extraction of the subset of data is based on one or more rules. Once the subset of data has been extracted, the ETL component may transform the extracted subset of data from the operational log into a format for another, target database, where the data format for the other, target database is different from a data format for the given, source database. The ETL component may then load the subset of data transformed into the data format for the other, target database into the target database.
机译:提出了用于从一个数据库提取,转换和加载数据到另一数据库的方法和装置。例如,提取,转换和加载(ETL)组件可以访问给定数据库的操作日志,以便检测对数据库的更新。在检测到更新后,ETL组件可以从操作日志中提取数据的子集,其中数据子集的提取基于一个或多个规则。一旦提取了数据子集,ETL组件就可以将从操作日志中提取的数据子集转换为另一个目标数据库的格式,其中另一个目标数据库的数据格式不同于该目标数据库的数据格式。给定源数据库。然后,ETL组件可以将转换为另一目标数据库的数据格式的数据子集加载到目标数据库中。

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