Big Data – Life Cycle Management & Challenges by Graham Irving

Big Data is a term applied to data sets whose size is beyond the ability of commonly used SW & HW to capture, manage, and process the data within a tolerable elapsed time.  – Wikipedia

 

Big Data sizes are a constantly moving target currently ranging from a few dozen TB’s to many PB’s in a single data set. – Wikipedia

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 Contents

  •  Introductions
  •  Big Data?
  •  Background
  • Life Cycle Management
  • 5/6/2012 (c) 2012, Storage Clarity 2
  •   Life Cycle Challenges
  •  Recommendations
  •  3-2-1 Archive

You can view the whole presentation below:

Search Appliances for Big Data by Davood Rafiei

Atlas Detector

Atlas detector at CERN – 23 PB per second raw data – 10 PB per year filtered data, – Used by more than 150 universities and labs

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Our Four Appliances

  • ReputaPon gauge (TOPIC,2000)
  • Network visualizaPon (ALVIN,2005)
  • Data extracPon (DeWild, 2007)
  • Result diversificaPon (Diver,2010)

Conclusions

  • Covered
  • Big (everyone’s) data
    • Four tools
    • TOPIC
    • ALVIN
    • DeWild
    • Diver
  • Surge in interest in big data
    • Obama’s big data initiative
    • This conference!
  • Search is far from being solved
    • And our quest for holy grail continues
  • No shortage of problems
  • Want to make sense of your big data
    • We sure can help!

See the Whole  Presentation in PDF below: