My working title was Big Data, Storage Dilemma.
They say dilemma. I say dilemna. I'm serious. I spell it dilemna.
Big Data presents something of a storage dilemma. There is no one data store
to rule them all.
Should different data structures be persisted to different storage mediums?
Identifying the appropriate medium is a function of performance, cost, and
Random Access Memory
It's fast. Very. It's expense. Very.
If we are configuring an HP DL980 G7 server, it will cost $3,672 for 128GB of
memory with 8x 16GB modules or $9,996 for 128GB of memory with 4x 32GB
modules. That is $28-78 / GB.
We can configure an HP DL980 G7 server with up to 4TB of memory.
Solid State Drive
It's not as fast or as expensive as random access memory. It's faster than a
hard disk drive. A lot faster. It's more expensive than a hard disk drive. A
lot more expensive.
I think Apache Hadoop is more or less synonymous with Big Data, but in what
Is it Apache Hadoop as in the framework?
Is it Apache Hadoop as in the platform?
I think it is Apache Hadoop as in the ecosystem. However, the ecosystem is
built on the platform and the platform is built on the framework.
The purpose of this presentation is to show that Apache Hadoop, as in the
framework, can be abstracted to the services required for building a Big Data
platform, and that alternative implementations of these services are in fact
complimentary if not alternative platforms for Big ... (more)
I came across an article discussing NoSQL and partition tolerance.
The NoSQL Partition Tolerance Myth (link)
I may not entirely agree with the author.
But what most NoSQL systems offer is a peculiar behavior that is not
partition tolerant, but partition oblivious instead.
No argument here. While NoSQL implementations are aware that nodes have left,
they are not aware that said nodes have formed a separate partition.
In this case, we would want failure detection and carry out those transfers
where the accounts are both on the same side of the partition, while denying
or deferring... (more)
Last October I published a post that identified the features that both JBoss
Data Grid and Oracle Coherence provide (link). My goal was to establish a
baseline for the features that a data grid should provide. It was not to
state that one data grid was better than the other. Little did I know an
Oracle employee would respond by attacking Red Hat, its engineers, and
It is fear? Is it hostility? I don’t know.
I have engaged in discussions with competitors before. Roman and I engaged in
a competitive discussion in response to one of my posts comparing IBM
WebSphere and JBo... (more)
2013 middleware predictions by Red Hat's Craig Muzilla. This post originally
appeared on Dec. 18, 2012.
Last year, I offered my thoughts on trends and developments that the market
would see in 2012. At that time, I felt that we were looking at a continued
emphasis on cloud, while mobile and backend integration technologies would
rise in prominence within enterprise IT. I think the industry made progress
in all three areas: analysts indicate huge adoption of mobile technologies as
a substitute for what would have typically been a laptop or desktop computer;
at Red Hat we saw an u... (more)