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Daniel Thompson

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Top Stories by Daniel Thompson

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 myself. 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 JBoss EAP (link). However, we both conducted ourselves in a professional manner. I’ve engaged in competitive discussions with Spring evangelists, but we focused on the technology. I always enjoy reading the discussions between Cameron, Nikita, and Nati on the TheServerSide. I find their discussi... (more)

Evolution and Innovation in Middleware

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)

The Abstraction of Apache Hadoop

I think Apache Hadoop is more or less synonymous with Big Data, but in what context? 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)

NoSQL and Partition Tolerance

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)

Big Data – Storage Mediums and Data Structures

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? Storage Medium Identifying the appropriate medium is a function of performance, cost, and capacity. 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 3... (more)