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Although Hadoop has emerged as the panacea for all types of computing challenges faced by modern businesses when it comes to predictive analytics, certain roadblocks still remain. The platform remains poorly understood in itself, and enterprises are struggling to get a handle on scalability. This results in below-par performance and in worst cases, data loss. What can be done to avoid these problems? Well, there’s no quick solution, but the point is to realize that Hadoop is an entire ecosystem that needs to find its own purpose.
Here are some pointers:
Scalability is everything when we talk about big data, and it’s so much easy to achieve that through Hadoop.
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