Rapid Scalable Scheduling for Updates in Streaming Data Warehouses

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Provided by: International Journal of Innovations in Engineering and Technology (IJIET)
Topic: Big Data
Format: PDF
This paper includes a streaming data warehouse update problem as a scheduling problem where jobs correspond to the process that load new data into tables and the objective is to minimize data staleness over time. The proposed scheduling framework that handles the complications encountered by a stream warehouse: view hierarchies and priorities, data consistency, inability to preempt updates, heterogeneity of update jobs caused by different inter arrival times and data volumes among different sources and transient overload.
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