Empowering              Semantic              Zooming with              Hadoop and              HBase                Kiten...
The	  History	  of	  Big	  Data	  Interfaces	  
$ hadoop fs -cat stuff
¡  Geometrical	  Zooming	  zooms	  the	  geometry	      of	  the	  view	  ¡  Semantic	  Zooming	  zooms	  the	  meaning	...
¡  Spatial	  metaphors	  may	  require	  additional	    cognitive	  load…	  
¡  Hyperbolic	  Trees	  and	  lensing	  (Furnas	  86,	      XeroX	  PARC):	  Focus	  +	  Context	  ¡  Pad	  and	  Pad++:...
Magnitudes	                Geospatial 	                  View	  HDFS	  HBase  	  
HBase	                                            ZettaVox	                                   JSONVisualization	  Layer   ...
¡  Level	  1:	  HDFS	  file	  sizes	  ¡  Level	  2:	  HDFS	  file	  content	  magnitudes	  ¡  Level	  3:	  HDFS	  file	  c...
¡  Dynamic	  calculation	  of	  requirements	  for	      ZettaZoom	  levels	  ¡  Caching	  of	  intermediary	  results	 ...
¡  Big	  Data	  analysis	  requires	  new	  tools	  for	      visualization	  and	  data	  access	  ¡  Semantic	  Zoomin...
Questions?	  
Thank You!             Page 19
Empowering Semantic Zooming with Hadoop and HBase
Empowering Semantic Zooming with Hadoop and HBase
Empowering Semantic Zooming with Hadoop and HBase
Empowering Semantic Zooming with Hadoop and HBase
Empowering Semantic Zooming with Hadoop and HBase
Empowering Semantic Zooming with Hadoop and HBase
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Empowering Semantic Zooming with Hadoop and HBase

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Empowering Semantic Zooming with Hadoop and HBase

  1. 1. Empowering Semantic Zooming with Hadoop and HBase Kitenga reinventing informationMark DavisFounder/CTO
  2. 2. The  History  of  Big  Data  Interfaces  
  3. 3. $ hadoop fs -cat stuff
  4. 4. ¡  Geometrical  Zooming  zooms  the  geometry   of  the  view  ¡  Semantic  Zooming  zooms  the  meaning  of   the  view:   §  Online  maps:  only  show  roads  and  rivers  as  the   viewpoint  gets  closer   §  Show  the  right  level  of  detail  for  the  zoom  point   §  Apply  lenses  to  the  data  
  5. 5. ¡  Spatial  metaphors  may  require  additional   cognitive  load…  
  6. 6. ¡  Hyperbolic  Trees  and  lensing  (Furnas  86,   XeroX  PARC):  Focus  +  Context  ¡  Pad  and  Pad++:  Zoomable  User  Interfaces   (1991)  ¡  Cat-­‐a-­‐Cone,  Themeriver  ¡  Zoomable  maps  
  7. 7. Magnitudes   Geospatial   View  HDFS  HBase  
  8. 8. HBase   ZettaVox   JSONVisualization  Layer   Services   (HTML5,  WebGL)   (64  function   API)   caching Hadoop  
  9. 9. ¡  Level  1:  HDFS  file  sizes  ¡  Level  2:  HDFS  file  content  magnitudes  ¡  Level  3:  HDFS  file  content  structure  ¡  Level  4:  HDFS  file  content  fine  structure  ¡  Level  5:  HDFS  file  content  latent  structure  
  10. 10. ¡  Dynamic  calculation  of  requirements  for   ZettaZoom  levels  ¡  Caching  of  intermediary  results  with   timestamps  ¡  Recalculation  for  out-­‐of-­‐date  data  
  11. 11. ¡  Big  Data  analysis  requires  new  tools  for   visualization  and  data  access  ¡  Semantic  Zooming  supports  multi-­‐level   interrogation  of  Big  Data  resources  ¡  Lenses  support  dynamic  wiring  of   visualizations  to  data  values  
  12. 12. Questions?  
  13. 13. Thank You! Page 19

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