Software is like a house. It must be adequately maintained or peeled-up wallpaper might reveal the foundation underneath isn’t as stable as you thought.

This could not be more true than in big data environments, which are inherently distributed systems. The probability of issues -- such as partial failures or unpredictable latencies -- only increases with scale - and, constructing a massively scalable big data system creates an immense software architecture challenge for software engineers and program managers.

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