How to beat the CAP theorem
october 2011 by jm
Nathan "Storm" Marz on building a dual realtime/batch stack. This lines up with something I've been building in work, so I'm happy ;)
nathan-marz
realtime
batch
hadoop
storm
big-data
cap
october 2011 by jm
Hacker News thread on Storm
september 2011 by jm
lots of good questions and answers in here
twitter
storm
distcomp
distributed
september 2011 by jm
Storm: distributed and fault-tolerant realtime computation
september 2011 by jm
intro slideshow to this really nifty-looking distcomp platform
distcomp
distributed
realtime
storm
slides
twitter
september 2011 by jm
Storm
september 2011 by jm
'The past decade has seen a revolution in data processing. MapReduce, Hadoop, and related technologies have made it possible to store and process data at scales previously unthinkable. Unfortunately, these data processing technologies are not realtime systems, nor are they meant to be. There's no hack that will turn Hadoop into a realtime system; realtime data processing has a fundamentally different set of requirements than batch processing.
However, realtime data processing at massive scale is becoming more and more of a requirement for businesses. The lack of a "Hadoop of realtime" has become the biggest hole in the data processing ecosystem. Storm fills that hole.'
data
scaling
twitter
realtime
scalability
storm
queueing
However, realtime data processing at massive scale is becoming more and more of a requirement for businesses. The lack of a "Hadoop of realtime" has become the biggest hole in the data processing ecosystem. Storm fills that hole.'
september 2011 by jm
Copy this bookmark: