Hadoop is a tank. Built by a workers’ cooperative, it’s complex and adaptable, and can handle any terrain.
In-memory is a plane. Pricier to purchase, but it’s sleek and efficient and goes hundreds of times faster than the average car.
You currently have a sedan car and can drive just about anywhere you want to go. You wonder why the heck people think you’d be interested in buying a tank or a plane. Here’s why:
Efficiency
It turns out that the costs of tank and plane travel fell through the floor -- to the point where they’re now cheaper and easier alternatives for many trips:
It’s just technological progress.
Don’t be the person in the horse and buggy wondering why everybody else has moved to new-fangled motor cars. Hadoop and in-memory are quickly becoming a standard part of information architectures.
Opportunity
With the new vehicles, there’s now a lot more terrain to explore:
Maybe you’re happy with your daily commute, and don’t feel the need for anything new. But don’t be surprised if the best parking spots are taken when you do finally reach your destination.
The Future
One of the reasons you can drive around so easily today is because people spent decades building a lot of expensive roads. Our information landscapes are the same -- a lot of work went into your enterprise data warehouse and data flows.
But as people look at expanding to new territories, they’re realizing that tanks and planes don’t need roads. The drivers of the next generation of “big data” information landscapes will be a lot freer to travel where and when they want to go. IT won’t have to build roads for them first (and policing and coordinating that travel will be harder).
So which of these types of transport will you need in the future? All of them!
A tank with wings or a personal helicopter may be possible one day. But right now, you should keep your car; invest in new vehicles; and draw up a plan for a good integrated transportation network.
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