Database Reference
In-Depth Information
Deploying Hadoop
Now that you have a firm grip on the ecosystem that surrounds Hadoop,
both from a technology and business perspective, you'll want to actually
consider deploying Hadoop and trying it yourself.
As you might expect, Microsoft offers a number of choices when it comes to
deploying Hadoop. However, we really need to set a benchmark to help us
consider all the angles as we evaluate which is the most appropriate option
for a given environment. This next section first discusses a number of the
considerations. Thediscussionthenturnstopossibletopologies.Ultimately,
you want a scorecard to help you make some objective decisions.
Deployment Factors
Which deployment option you choose will be dictated by several factors,
many of which are intertwined like the fibers of a shredded-wheat biscuit.
It'sthereforeworthkeepingthemall,asfollows,inmindasweworkthrough
this section:
• Elasticity
• Flexibility
• Scalability
• Security
• Proximity
• Functionality
• Usability
• Manageability
Elasticity
Think of your elasticity requirement as a rubber band:
Do you need to be able to stretch your performance requirement to enable
faster processing or to cope with spikes/surges in demand?
Elastic scale is the sweet spot for cloud services such as those offered by
Windows Azure. I can alter the size and compute power of my cluster at will.
With an on-premise service, I am always able to grow, albeit more slowly,
