Separating Hadoop Myths from Reality by ROB ANDERSON at Big Data Spain 2013

According to Gartner, Hadoop is near the top of the Hype Cycle. While some customers have questions about the enterprise capabilities of Hadoop, the answers are clear as production deployments continue to expand. This session will use successful customer experiences to highlight the power of Hadoop and separate the myths from reality.

Transcript

1. Separating Hadoop Myths from Reality Rob Anderson
2. 1   The  Myths  &  Reali.es   Surrounding  Hadoop     Rob  Anderson   VP  Systems  Engineering  
3. 2   Sales   SCM   CRM   Public   Web  Logs   Produc7on   Data   Sensor     Data   Click   Streams   Loca7on   Social   Media   Billing   Enterprise   Data  Hub   Hadoop  Changes  Analy.cs   “Simple  algorithms  and  lots  of  data  trump   complex  models  ”   Halevy,    Norvig,  and    Pereira,  Google   IEEE  Intelligent  Systems    
6. 5   Data   Warehouse   Volume   Variety   Velocity  
8. 7   Big Data is hard to move…because it’s BIG
9. 8   What  was  the  genius  of  Hadoop?   §  Fueling  an  industry  revolu7on   by  providing  infinite  capability   to  store  and  process  big  data   §  Expanding  analy7cs  across  data   types   §  Compelling  economics   –   20  to  100X  more  cost  effec7ve   than  alterna7ves  
11. 10   Random  Wri.ng  in  MapR   S1 S2 S3 S5 S4 S1, S2, S4 S1, S3 S1, S4, S5 S2, S4, S5 S3 Client   wri.ng   data   CLDB   Ask  for   64M  block   Create  cont.   Picks  master   and  2  replica  slaves   Write   next  chunk   to  S2   S2, S3, S5 aZach  
13. 12   MapR   Spout   TwiZer   TwiZer      API   TwiZerLogger   Storm         MapR   Op7onal   MapReduce   DFS  
14. 13   hZp://www.flickr.com/photos/onemoreshotrog/8085462024/  
15. 14   Hadoop  Distribu.ons  
16. Hadoop:  The  Disrup.ve  Technology     at  the  Core  of  Big  Data  
18. 17   The  Reality  is     Architecture  MaHers  
19. MapR  Data  System   Architecture  Comparison   HBase   JVM   HDFS   JVM   ext3/ext4   Disks   Other  Distribu7ons   Disks   MapR  M7  
20. Architecture  Results   Results  with  other   distribu.ons   Results  with   MapR  M7  
22. Produc.on  Success  with  Hadoop  
23. 22   2000+   Nodes   Fortune  100  Retailer  
24. 23   1000+  Nodes   Fortune  100  Financial  Services  Company  
26. 25   Produc7on  Hadoop  in     Waste  Management  
27. 26   Suntory  whiskey  
29. 28   Unique  Iden.ty   Ini.a.ve,  India    
31. 30     Thank  you   Big  Data  Spain!