DOD-ETL: distributed on-demand ETL for near real-time business intelligence
نویسندگان
چکیده
منابع مشابه
Near Real Time ETL
Near real time ETL deviates from the traditional conception of data warehouse refreshment, which is performed off-line in a batch mode, and adopts the strategy of propagating changes that take place in the sources towards the data warehouse to the extent that both the sources and the warehouse can sustain the incurred workload. In this article, we review the state of the art for both convention...
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Business Intelligence (BI) is considered to have a high impact on businesses. Research activity has risen in the last years. An important part of BI systems is a well performing implementation of the Extract, Transform, and Load (ETL) process. In typical BI projects, implementing the ETL process can be the task with the greatest effort.
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Business intelligence (BI) is considered to have a high impact on businesses. Research activity has risen in the last years. An important part of BI systems is a well performing implementation of the Extract, Transform, and Load (ETL) process. In typical BI projects, implementing the ETL process can be the task with the greatest effort. Here, set of generic metamodel constructs with a palette o...
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We present our work based on an incremental ETL pipeline for on-demand data warehouse maintenance. Pipeline parallelism is exploited to concurrently execute a chain of maintenance jobs, each of which takes a batch of delta tuples extracted from source-local transactions with commit timestamps preceding the arrival time of an incoming warehouse query and calculates Ąnal deltas to bring relevant ...
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This paper provides the motivation, implementation details, and evaluation of a lightweight distributed extract-transform-load (ETL) service designed for large scale ingestion of real-time data.
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ژورنال
عنوان ژورنال: Journal of Internet Services and Applications
سال: 2019
ISSN: 1867-4828,1869-0238
DOI: 10.1186/s13174-019-0121-z