Five Pitfalls to Avoid with Hadoop

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Tips to avoid this pitfall:

Hadoop provides virtually unlimited horizontal scalability. However, hardware and development costs can quickly hinder sustainable growth. Therefore, it’s important to maximize developer productivity and per-node efficiency to contain costs.

Choose cost-effective software and support, including both the Hadoop distribution and the data integration tool.
Ensure tools include features to reduce development and maintenance efforts of MapReduce jobs.
Look for optimizations that enhance Hadoop’s vertical scalability to reduce hardware requirements.

The emergence of Hadoop as the de facto Big Data operating system has brought on a flurry of beliefs and expectations that are sometimes simply untrue. Organizations embarking on their Hadoop journey face multiple pitfalls that, if not proactively addressed, will lead to wasted time, runaway expenditures and performance bottlenecks. By proactively anticipating these issues and utilizing smarter tools, the full potential of Hadoop may be realized. Syncsort has identified five pitfalls that should be avoided with Hadoop.

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