Deep	
  Storage:	
  
Enabling	
  the	
  Disrup4ve	
  Thinkers	
  in	
  
Your	
  Organiza4on	
  
What	
  is	
  a	
  disrup4ve	
  technology?	
  
•  Clayton	
  Christensen,	
  “Disrup(ve	
  Technologies:	
  
Catching	
  ...
What	
  is	
  a	
  disrup4ve	
  user?	
  
Why	
  the	
  need	
  for	
  deep	
  storage	
  –	
  really?	
  
•  By	
  2020	
  the	
  Digital	
  Universe	
  will	
  ho...
Why	
  keep	
  all	
  that	
  data?	
  
Predic4ve!	
  
	
  

Data	
  growth	
  is	
  not	
  being	
  driven	
  by	
  the	
...
Correla4on	
  is	
  King	
  
•  Running	
  analy4cs	
  against	
  a	
  data	
  set	
  in	
  order	
  to	
  
understand	
  ...
Welcome	
  to	
  our	
  world…	
  
Deep	
  Storage	
  –	
  what	
  is	
  it	
  exactly?	
  
•  Deep	
  storage	
  is	
  extremely	
  low-­‐cost,	
  power	
  ...
Object	
  Store	
  vs.	
  File	
  System	
  
•  Intent	
  of	
  File	
  Systems	
  
•  Hierarchical	
  vs.	
  Flat	
  
•  ...
File	
  Systems	
  are	
  “Nested”	
  
•  Invented	
  30	
  years	
  ago	
  
•  Much	
  overhead	
  to:	
  

–  Allow	
  c...
Object	
  Stores	
  are	
  “Flat”	
  vs.	
  Hierarchical	
  
Like	
  files,	
  objects	
  contain	
  data	
  
Unlike	
  file...
Each	
  object	
  has	
  a	
  unique	
  object	
  ID	
  	
  
•  Physical	
  loca4on	
  of	
  the	
  data	
  no	
  longer	
...
Metadata	
  and	
  physical	
  data	
  are	
  separated	
  	
  
Enables	
  search,	
  mining,	
  
and	
  analy4cs	
  of	
 ...
Cools	
  things	
  you	
  get	
  with	
  Deep	
  Storage…	
  

•  REST	
  Interface	
  

–  Move	
  bulk	
  data	
  easily...
Deep	
  Storage	
  Markets	
  
Internet	
  Services	
  
Web	
  2.0	
  ,	
  Public	
  Cloud	
  

Private	
  Cloud	
  
Deep/...
The	
  Tipping	
  Point	
  
•  Encryp4on	
  
•  Media	
  Lifecycle	
  Management	
  
•  Drive	
  Lifecycle	
  Management	
...
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Deep Storage Vision from Spectra Logic

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In this presentation, Molly Rector from Spectra Logic introduces the company's new Deep Storage vision. Following that, Brian Granger discusses the built-in intelligence that the company is leveraging in its existing storage devices.

Watch the Presentation Video: http://wp.me/p3RLEV-1eQ

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Deep Storage Vision from Spectra Logic

  1. 1. Deep  Storage:   Enabling  the  Disrup4ve  Thinkers  in   Your  Organiza4on  
  2. 2. What  is  a  disrup4ve  technology?   •  Clayton  Christensen,  “Disrup(ve  Technologies:   Catching  the  Wave”   •  New  technology  disrupts…   •  Old  technology  diminishes…  
  3. 3. What  is  a  disrup4ve  user?  
  4. 4. Why  the  need  for  deep  storage  –  really?   •  By  2020  the  Digital  Universe  will  hold  40  ZeLabytes   •  In  2012  68%  of  informa4on  was  created  and   consumed  by  individuals…   •  More  informa4on  is  being  created  about  individuals   than  they  are  crea4ng  themselves    A  new  genera)on  of  technologies  and  architectures,  designed    to  economically  extract  value  from  very  large  volumes  of  a   wide  variety  of  data  by  enabling  high-­‐velocity  capture,   discovery  and  analysis.   Source:    IDC,  The  Digital  Universe  in  2020,  December  2012  
  5. 5. Why  keep  all  that  data?   Predic4ve!     Data  growth  is  not  being  driven  by  the  need  to  restore   the  past…  It’s  all  about  predic4ng  the  future   •  Correla4on  is  King   •  “What”  more  than  “Why”   •  No-­‐delete  data  policies   •  n  =  All      
  6. 6. Correla4on  is  King   •  Running  analy4cs  against  a  data  set  in  order  to   understand  correla4ons   Trading  “Why”  for  “What”       What  will   What   Why   Happen   Happened?   Next?   •  N  =  All   •  This  is  the  use  model  driving  the  Digital  Revolu4on,   and  our  technologies  must  follow                                                
  7. 7. Welcome  to  our  world…  
  8. 8. Deep  Storage  –  what  is  it  exactly?   •  Deep  storage  is  extremely  low-­‐cost,  power  efficient   and  dense  storage  for  data  that  does  not  need   immediate  access.     •  Deep  storage  is  accessed  over  open  interfaces  such  as   REST  interfaces  and  web  protocols.     •  Data  in  deep  storage  is  stored  as  objects  that  are  self-­‐ describing  and  wriLen  in  an  open  file  format.    
  9. 9. Object  Store  vs.  File  System   •  Intent  of  File  Systems   •  Hierarchical  vs.  Flat   •  Metadata  
  10. 10. File  Systems  are  “Nested”   •  Invented  30  years  ago   •  Much  overhead  to:   –  Allow  concurrent  access   –  Allow  read  &  write   •  Focus  on  “loca4on”  vs.   “content”   •  Great  for  real  4me  sharing   and  edi4ng  or  processing   •  Limita4ons  on  scaling,   indexing  and  searching  
  11. 11. Object  Stores  are  “Flat”  vs.  Hierarchical   Like  files,  objects  contain  data   Unlike  files,  objects  are  not  stored  in  hierarchy    
  12. 12. Each  object  has  a  unique  object  ID     •  Physical  loca4on  of  the  data  no  longer  maLers   •  Objects  can  be  moved  across  the  storage  pools  among  one   or  mul4ple  4ers   •  Data  can  be  stored  or  copied  within  an  Object  Store  thus   elimina4ng  the  need  to  con4nually  back  it  up    
  13. 13. Metadata  and  physical  data  are  separated     Enables  search,  mining,   and  analy4cs  of  billions   of  objects  without   touching  physical  media       Metadata  
  14. 14. Cools  things  you  get  with  Deep  Storage…   •  REST  Interface   –  Move  bulk  data  easily  with  a  modern  interface  &  sokware  clients   •  Persistent   –  Keep  data  forever,  auto-­‐migrate  across  formats  over  4me   •  Cost  Effec4ve   –  A  frac4on  of  the  cost  of  disk,  save  budget  $$  for  other  projects   •  Efficient   –  Significantly  reduce  floor  space,  power  and  cooling  costs   •  Secure  &  Reliable   –  Data  will  always  be  readable  and  only  by  the  right  people   •  Easy  to  integrate/deploy   –  No  storage  experts  needed,  significant  4me  and  OPEX  savings    
  15. 15. Deep  Storage  Markets   Internet  Services   Web  2.0  ,  Public  Cloud   Private  Cloud   Deep/Long  Term  Storage  Records,   Data  Warehousing   Life  Sciences   BioIT,  Genomics,  Pharma     Media  &  Entertainment   Film,  TV,  Music,  Broadcas4ng,  Publishing   Federal  &  State  Government   AcEve  Archive   Intelligence,  Surveillance,  Security   Offload  Primary  Storage   Big  Data  AnalyEcs   Oil  &  Gas   Hadoop   Seismic  image  processing  
  16. 16. The  Tipping  Point   •  Encryp4on   •  Media  Lifecycle  Management   •  Drive  Lifecycle  Management   •  Data  Integrity  Verifica4on   –  PreScan   –  QuickScan   –  PostScan  

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