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From the Editors: Node.js is unruly, but that’s where the fun is



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February 2, 2012 —  (Page 1 of 2)
The Node.js community is a hoot. There is a period of time shortly after the creation of a new software development paradigm, but just before that paradigm takes off and becomes mainstream, that is the “fun” time, when enthusiastic developers around the world are fleshing out support for a new development environment, language or platform. It's when Java was at its best, and when the Ruby on Rails community was still breaking the rules just by existing.

And it's that “fun” period in which the Node.js community currently resides, as evidenced by the number of excited developers attending the Node Summit late last month. The best practices do not yet exist, and no one has really found a place where Node code doesn't belong. It's that happy time for an open-source project when the enthusiasts can make gobs of money on consulting, while the more playful among the community can still crank out new code and changes at a breakneck pace.

This is, perhaps, the most exciting time in the history of Node.js. You can be sure the project isn't going to vanish anytime soon. But you can also be sure that the culture around Node.js is only going to become more corporate and stodgy, starting now. If you're looking to join in on a software movement at just the right time, Node.js really is in that sweet spot where you can do real work with the project, but you can also still do just about anything you'd like with it in the name of experimentation.

Hadoop 2.0 to bring one cluster to rule them all
Hadoop, Hadoop, Hadoop. We certainly have spilled plenty of ink on the subject in these pages. For more than three years now, Hadoop has been the hottest of hot enterprise topics. But it's also been a fairly limited platform. Map/reduce is all fine and dandy, but there's an awful lot of computing that doesn't use the algorithm at all.

But all of that is about to change. Hadoop 2.0 will be a data center operating system for processing big data, not just a massive box for storing map/reduce data. The rewriting of Hadoop's core will produce a newer, more multitalented data platform, ready for performing any type of data processing imaginable. After all, half the appeal of Hadoop is having one place to put terabytes of data for analytics. What good is having all of that information if you are bound in by a set of functions that are limited to map/reduce variants?



Related Search Term(s): Hadoop, Node.js, software engineering

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