划分实时ETL工作流

2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010) Pub Date : 2010-03-01 DOI:10.1109/ICDEW.2010.5452754

A. Simitsis, Chetan Gupta, Song Wang, U. Dayal

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引用次数: 15

摘要

许多组织的目标是从传统的批处理ETL转向实时ETL (RT-ETL)。这一举措的动机是需要对尽可能新鲜的数据进行分析和决策。RT-ETL引擎对并行架构上执行的数据流进行抽象操作。对于高吞吐量和低响应时间，需要在引擎中的大量节点上对数据进行分区。在本文中，我们考虑了实时ETL流的划分问题，并为此提出了一个高层次的体系结构。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Partitioning real-time ETL workflows

Many organizations are aiming to move away from traditional batch processing ETL to real-time ETL (RT-ETL). This move is motivated by a need to analyze and take decisions on as fresh a data as possible. The RT-ETL engines operate on the abstraction of data flow executed on parallel architectures. For high throughput and low response times, there is a need for partitioning the data over the large number of nodes in the engine. In this paper, we consider the problem of partitioning realtime ETL flows and we propose a high level architecture for that.

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来源期刊

2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)

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