Tag Archives: Map Reduce
Just launched on Project Hosting at Google the loafwithjam project. LOAF stands for Live Object Application Framework and supports the Actor Model of Concurrency introduced in my last post. I have upload the documentation for codes that are similar to what have been in operation for web analytics collection and processing successfully for many years. Continue reading
We have seen in a previous post how Map Reduce is analogous to how business and product managers plan and implement projects with Gantt Charts allowing a number of tasks to proceed independently in parallel and integrating their products at the end. A question from those outside of computer science might be: why has it taken this long to figure this out? In fact, if computers are so fast and capable, why don’t they figure the quickest, most parallel way of executing multiple tasks all by themselves? Continue reading
From my blog analytics, I can actually see the eyes rolling as my audience quickly skirts my Cloud Computing posts to go to the old stuff (back when I was funny). In some ways I understand the ambivalence but I will give you three reasons to reconsider that ambivalence. As you may be aware, I am not big with posts that give lists of simple answers that can be quickly absorbed and just as easily forgotten. In this case will make exception and try not to spin the topic into simplistic babble. Continue reading
We have been living in the age of Hadoop. I know this for certain because Yahoo! has recently announced it’s commitment to making Hadoop a commercial platform. Yahoo! has nearly a perfect record of picking winning technologies that have already crossed the finish line.