Big Data Analytics

Big Data refers to datasets that grow so large that it is difficult to capture, store, manage, share, analyze and visualize with the typical database software tools.

 

Volume

  • Fast-moving data creates massive historical archives
  • Valuable for mining patterns, trends and relationships
  • Gigabyte(109), Terabyte(1012), Petabyte(1015), Exabyte(1018), Zettabytes(1021)

Variety

  • Structured (logs, business transactions)
  • Semi-structured and unstructured
  • Structured,semi-structured, unstructured; Text, image, audio, video, record

Velocity

  • Moves at very high rates (think sensor-driven systems)
  • Valuable in its temporal, high velocity state
  • Dynamic, sometimes time-varying

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