4 min read
This article was originally published by Igor Izotov on his LinkedIn profile here.
There are resources and there are Resources. The old statement is still valid: Your project's success is entirely dependent on the people you hire. Hadoop initiatives are no exception to this; instead, these initiatives are particularly demanding.
Here are a few reasons why:
A number of POCs have sprouted up over the last few years, fully satisfying technical resources' thirst for new technology; only a few made it to the beyond-the-technical-POC stage and became properly plugged into the enterprise ecosystem, delivering business value.
Why is the team topic so important?
Hadoop is a framework, a suite of tools that demand your team to possess a multitude of skills. Let us define four Tiers, focussing on roles, not team members.
Now, this is a lengthy list, isn't it? Most likely your implementation will require additional roles or not require, say, Natural Language Processing specialists, depending on your needs. You might be lucky to find technicians that are able to check off a few roles – in fact, this would be ideal; but blending the management tier roles with the technical ones is not recommended. Although tempting, doing so will increase the chances of your implementation turning into an technical geek-fest with very little focus on the business problem.
Why the Tiers? As with every implementation, success comes in steps and the Hadoop elephant is best consumed one slice at a time. The foundation platform can be delivered by Tier 1 resources, followed by more advanced capabilities leveraging Tier 2 and Tier 3 resources. Needless to say, even the tiniest of implementations needs to involve the business-focussed Leadership Tier resources.
By way of conclusion, it is vitally important to have the right blend of roles and the right business justification for the activity. This applies to virtually every IT initiative and Hadoop is no exception.
The key responsibilities of each role will be covered in the coming posts.
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