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LittleTable: A Time-Series Database and Its Uses
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Authors:
Sean Rhea
Cisco Meraki, San Francisco, CA, USA
Eric Wang
Cisco Meraki, San Francisco, CA, USA
Edmund Wong
Cisco Meraki, San Francisco, CA, USA
Ethan Atkins
Cisco Meraki, San Francisco, CA, USA
Nat Storer
Cisco Meraki, San Francisco, CA, USA
2017 Article
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· Citation Count: 2
· Downloads (cumulative): 2,049
· Downloads (12 Months): 778
· Downloads (6 Weeks): 24
Published in:
· Proceeding
SIGMOD '17
Proceedings of the 2017 ACM International Conference on Management of Data
Pages 125-138
Chicago, Illinois, USA — May 14 - 19, 2017
ACM
New York, NY
, USA
©2017
table of contents
ISBN: 978-1-4503-4197-4
doi>
10.1145/3035918.3056102
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Author Tags
cloud computing
cloud computing
clustering
clustering
database performance evaluation
database recovery
databases
dbms engine architectures
internet of things
multidimensional range search
organizing principles for web applications
partitioning
time-series data
transaction logging
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