Your SlideShare is downloading. ×
0
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
Hadoop is-dead
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

Hadoop is-dead

699

Published on

The report of Hadoop's death has been greatly exaggerated.

The report of Hadoop's death has been greatly exaggerated.

Published in: Technology
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
699
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
17
Comments
0
Likes
1
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. Clint Green (+clintgreen)HADOOP: NOT DEAD YET
  • 2. “Big Data” is when the size of the data itself becomes part of the problem. - Big Data Now, O’Reilly
  • 3. PERCEPTION IS REALITY
  • 4. Hadoop is Flawed “You can’t install it without an expert.”“Fine for R&D, but not for realproduction.” “Hadoop is just for batch processing.”“The dirty-little-secret with Hadoop is…”
  • 5. Hadoop isn’t for RealWork™1.Adopt Hadoop for pilot projects.2.Scale Hadoop to production use.3.Observe an unacceptable performance penalty.4.Morph to a real parallel DBMS.
  • 6. Atomicity Consistency IsolationDurability
  • 7. “4.Morph to a real parallel DBMS.”
  • 8. REALITY IS RELATIVE
  • 9. Evolve“Hadoop has become the kernel of thedistributed operating system for Big Data…No one uses the kernel alone.” -Doug Cutting, Strata 2012 (Cloudera, ASF)
  • 10. Hadoop + MapReduce “There is nothing really embarrassing about embarrassingly parallel applications." -Luiz André Barroso, ACM 2011 (Distinguished Engineer Google)
  • 11. Not Just for Batch Anymore…APACHE APACHE HAMA D R I L L
  • 12. Apache Hadoop YARNThe per-application ApplicationMaster is, ineffect, a framework specific library and istasked with negotiating resources from theResourceManager and working with theNodeManager(s) to execute and monitor thetasks.
  • 13. No Secret Here
  • 14. Help is on the Way
  • 15. ACTUAL PROBLEMS
  • 16. Clint Green (+clintgreen)THANK YOU

×