Apache hadoop goes realtime at Facebook

@inproceedings{Borthakur2011ApacheHG,
  title={Apache hadoop goes realtime at Facebook},
  author={Dhruba Borthakur and Jonathan Gray and Joydeep Sen Sarma and Kannan Muthukkaruppan and Nicolas Spiegelberg and Hairong Kuang and Karthika Ranganathan and Dmytro Molkov and Aravind Menon and Samuel Rash and Rodrigo Schmidt and Amitanand S. Aiyer},
  booktitle={SIGMOD '11},
  year={2011}
}
Facebook recently deployed Facebook Messages, its first ever user-facing application built on the Apache Hadoop platform. [...] Key Result We offer these observations on the deployment as a model for other companies who are contemplating a Hadoop-based solution over traditional sharded RDBMS deployments.Expand
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References

SHOWING 1-10 OF 19 REFERENCES
ZooKeeper: Wait-free Coordination for Internet-scale Systems
TLDR
ZooKeeper provides a per client guarantee of FIFO execution of requests and linearizability for all requests that change the ZooKeeper state to enable the implementation of a high performance processing pipeline with read requests being satisfied by local servers.
Bigtable: A Distributed Storage System for Structured Data
TLDR
The simple data model provided by Bigtable is described, which gives clients dynamic control over data layout and format, and the design and implementation of Bigtable are described.
MapReduce: Simplified Data Processing on Large Clusters
TLDR
This paper presents the implementation of MapReduce, a programming model and an associated implementation for processing and generating large data sets that runs on a large cluster of commodity machines and is highly scalable.
The log-structured merge-tree (LSM-tree)
TLDR
The log-structured mergetree (LSM-tree) is a disk-based data structure designed to provide low-cost indexing for a file experiencing a high rate of record inserts (and deletes) over an extended period.
Facebook Messages
  • Facebook Messages
  • 2010
Available at http://en.wikipedia.org/wiki/Fsck
  • Available at http://en.wikipedia.org/wiki/Fsck
Available at http://en.wikipedia.org/wiki/Memcached [10] Scribe. Available at http://github.com/facebook/scribe
  • Available at http://en.wikipedia.org/wiki/Memcached [10] Scribe. Available at http://github.com/facebook/scribe
Available at http://hadoop.apache
  • Available at http://hadoop.apache
Available at http://hadoop.apache.org/hdfs
  • Available at http://hadoop.apache.org/hdfs
Available at http://hbase.apache
  • Available at http://hbase.apache
...
1
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