From charlesreid1

Revision as of 19:12, 24 October 2017 by Admin (talk | contribs) (→‎Overview)

Overview

Bigtable features:

  • sparsely populated table
  • billions of rows, thousands of columns
  • ideal data source for MapReduce operations
  • TB to PB of data
  • large amounts of single-keyed data with low latency
  • fast read write throughput, low latency
  • fully managed - design your schema and you're done
  • example applications: marketing data, financial data, IoT data, time series data

From the original white paper: "A Bigtable is a sparse, distributed, persistent multidimensional sorted map. The map is indexed by a row key, a column key, and a timestamp; each value in the map is an uninterrupted array of bytes."

Resources

Bigtable paper (2006): http://static.googleusercontent.com/media/research.google.com/en/us/archive/bigtable-osdi06.pdf

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