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BigTable (Portuguese Wikipedia)

Analysis of information sources in references of the Wikipedia article "BigTable" in Portuguese language version.

refsWebsite
Global rank Portuguese rank
3research.google.com
low place
low place
2andrewhitchcock.org
low place
low place
1googlecloudplatform.blogspot.com
low place
low place
1googleblog.com
1,272nd place
1,479th place
1kylecordes.com
low place
low place
1code.google.com
4,942nd place
4,153rd place

andrewhitchcock.org

  • Kumar, Aswini, Whitchcock, Andrew, ed., Google's Bigtable, First an overview. Bigtable has been in development since early 2004 and has been in active use for about eight months (about February 2005). .
  • Whitchcock, Andrew, Google's Bigtable, There are currently around 100 cells for services such as Print, Search History, Maps, and Orkut .

code.google.com

googleblog.com

developers.googleblog.com

googlecloudplatform.blogspot.com

kylecordes.com

  • Cordes, Kyle (12 de julho de 2007), YouTube Scalability (talk), Their new solution for thumbnails is to use Google’s Bigtable, which provides high performance for a large number of rows, fault tolerance, caching, etc. This is a nice (and rare?) example of actual synergy in an acquisition. .

research.google.com

  • Chang et al. 2006. Chang, Fay; Dean, Jeffrey; Ghemawat, Sanjay; Hsieh, Wilson C.; Wallach, Deborah A.; Burrows, Mike; Chandra, Tushar; Fikes, Andrew; Gruber, Robert E. (2006), «Bigtable: A Distributed Storage System for Structured Data», (download ebook) (PDF), Google .
  • Chang et al. 2006, p. 3: ‘Bigtable can be used with MapReduce, a framework for running large-scale parallel computations developed at Google. We have written a set of wrappers that allow a Bigtable to be used both as an input source and as an output target for MapReduce jobs’ Chang, Fay; Dean, Jeffrey; Ghemawat, Sanjay; Hsieh, Wilson C.; Wallach, Deborah A.; Burrows, Mike; Chandra, Tushar; Fikes, Andrew; Gruber, Robert E. (2006), «Bigtable: A Distributed Storage System for Structured Data», (download ebook) (PDF), Google .
  • Chang et al. 2006, Conclusion: ‘We have described Bigtable, a distributed system for storing structured data at Google... Our users like the performance and high availability provided by the Bigtable implementation, and that they can scale the capacity of their clusters by simply adding more machines to the system as their resource demands change over time... Finally, we have found that there are significant advantages to building our own storage solution at Google. We have gotten a substantial amount of flexibility from designing our own data model for Bigtable.’ Chang, Fay; Dean, Jeffrey; Ghemawat, Sanjay; Hsieh, Wilson C.; Wallach, Deborah A.; Burrows, Mike; Chandra, Tushar; Fikes, Andrew; Gruber, Robert E. (2006), «Bigtable: A Distributed Storage System for Structured Data», (download ebook) (PDF), Google .