Productionizing Hadoop: Seven Architectural Best Practices

Productionizing Hadoop: Seven Architectural Best Practices


While many businesses already have big data projects in place, that doesn't mean that every program works flawlessly. In fact, ensuring that your big data operations run smoothly isn't always an easy task. Productionizing big data can be difficult due to:

  • Integration with heterogeneous infrastructure
  • Reliance on 3rd-party cloud services
  • Compute-intensive analytics

Check out this informative resource to learn what you should consider when choosing architecture for your big data project. Discover the seven top architectural qualities of big data production platforms, and one delivery platform that automates big data workflow for more efficient, effective processing.


Cisco Systems, Inc.
Aug 28, 2013
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