Your SlideShare is downloading. ×
0
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Digital Odyssey 2013: Big Data
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Digital Odyssey 2013: Big Data

131

Published on

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
131
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Library Big DataMJ SuhonosJune 7, 2013
  • 2. BIG DATA IS BIG
  • 3. HUMAN GENOME3 BILLIONBASE PAIRSGOOGLE50 BILLIONWEB PAGESFACEBOOK140 BILLIONPHOTOS
  • 4. NOT REALLY
  • 5. LIBRARY OFCONGRESS1.9 MILLIONEUROPEANA 20 MILLIONWORLDCAT1.5 BILLIONRECORDS
  • 6. big data varies dependingon the capabilities of theorganization managing thedataset
  • 7. BIG DATA ISCOMPLICATED
  • 8. NOT REALLY
  • 9. datasets that grow so largethat they become difficultto work with usingtraditional database toolsand within a tolerableelapsed time
  • 10. big data is less about sizeand more about freedomand new opportunities
  • 11. the real impact of big datawill be taking manyproblems that are big andexpensive and making themslightly smaller and cheaper
  • 12. LinkedDataOpenData
  • 13. mjsuhonos@ryerson.ca@mjsuhonos

×