Five Pitfalls to Avoid with Hadoop

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Tips to avoid this pitfall:

Most data integration tools are simply code generators that add extra overhead to the Hadoop framework. A smarter approach must fully integrate with Hadoop and provide means to seamlessly optimize performance without adding complexity.

  • Understand how different solutions are specifically interacting with Hadoop and the amount of code that they are generating.
  • Choose solutions with the ability to run natively within each Hadoop node without generating code.
  • Run performance benchmarks and study which tools deliver the best combination of price and performance for your most common use cases.
  • Select an approach with built-in optimizations to maximize Hadoop’s vertical scalability.

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.


Related Topics : Vulnerabilities and Patches, Resellers, Broadcom, Broadband Services, Supercomputing

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