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With the increase in data volumes, it is prudent to classify data depending on its criticality. One might prefer a cheap storage for a year old system logs but a highly fault tolerant storage for personal photos. The existing solutions include storing these two sets of data in two different systems or choosing a system with a fault tolerance level required by the most critical data. This means a higher...
This paper presents PigOut, a system that enables federated data processing over multiple Hadoop clusters. Using PigOut, a user (such as a data analyst) can write a single script in a high-level language to efficiently use multiple Hadoop clusters. There is no need to manually write multiple scripts and coordinate the execution for different clusters. PigOut accomplishes this by automatically partitioning...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.