As 2014 gets into full speed, Hadoop is increasingly being made use of for applications that are essential to everyday business operations. No longer is Hadoop seen by some companies as just a platform for big data proof-of-concept applications. IT leaders need to be developing a strategy for production-ready facilities, now, so they prepare to take advantage of the emerging technical advances that make Hadoop more capable of supporting business-critical big data applications.

Inspired by Google’s MapReduce, Hadoop has earned its stripes as a platform supporting large-scale computing for Yahoo, Facebook and other Web giants. Nevertheless, previously it hasn’t been universally considered mainstream technology, in part because of v1 technical restrictions and the limited technical skillsets Hadoop needs.

Hadoop is ready for production, specifically with the release of v2 and when delivered through a handled services model. Right here’s why:

  1. With technical enhancements in v2, Hadoop has actually transitioned from a batch-processing design to a multi-use platform for crunching data in much more means, making it prepared for real-time big data applications.
  2. Explosive data growth is difficult organizations to scale big data operations at the speed of company after preliminary use cases prove effective. When Hadoop is delivered with a handled services design, companies speed up delivery without worrying about big capital expense, absence of internal abilities, data center restraints or execution success.
  3. Development of a big data best practices stack, incorporating an infrastructure layer, a data layer and an understanding layer, guarantees delivery of big data applications in the context of a company’s total information architecture. (I will have more to say about this emerging stack quickly.).
  4. Full big data handled services that consist of market-leading Hadoop platforms from providers like Cloudera and MapR, network services, IaaS and tested ITIL-based techniques satisfy the most strict enterprise requirements.
  5. A groundswell of open source contributions, incorporated with technical developments in industrial distributions, guarantees a Hadoop enhancement roadmap that will certainly enable an ever-expanding list of use cases. Market noise about proprietary enhancements is meaningless when developments provide 100 percent API compliance with HDFS.

For these reasons, Hadoop is ready for enterprise applications. IT leaders are progressively recognizing that the very best means to satisfy their companies’ demands for big data solutions is through a managed services approach.

A research by Forrester Consulting discovered 65 percent of checked business are already utilizing, or planning to make use of, Hadoop for several proof-of-concepts. However just 16 percent were using it in manufacturing. If we retake that survey at the end of 2014, we’ll find a considerable shift toward manufacturing applications, sustained by the accessibility of big data managed services.

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