The Morning Paper
SEPTEMBER 8, 2019
Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., Microsoft’s big data clusters have 10s of thousands of machines, and are used by thousands of users to run some pretty complex queries. Five queries improve substantially on both latency and total compute hours.
Highly Scalable
MAY 1, 2012
Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. what is the cardinality of the data set)?
All Things Distributed
JULY 11, 2011
As a part of that process, we also realized that there were a number of latency sensitive or location specific use cases like Hadoop, HPC, and testing that would be ideal for Spot. However, customers with these use cases need a way to more easily and reliably target Availability Zones. No Server Required - Jekyll & Amazon S3.
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