Hadoop tutorial: how to try this at home

It's a common refrain after observing or hearing about someone doing something difficult: don't try this at home. Whether it's a carefully choreographed stunt, the work of a highly trained professional or the explorations of the seemingly crazy (or some combination of these factors), the world is filled with pursuits that are basically inadvisable from the layman's point of view. There are just some objectives that cannot be accomplished without the close supervision of a highly learned expert on the subject.

Fortunately, Apache Hadoop does not belong in this category. Its open-source origins and smooth framework, under constant tweaking and observation, make Hadoop ripe for the non-expert to utilize and doesn't require a high level of acquired knowledge to explore correctly. This is great news for those who want to leverage big data insights for more effective opportunities in their business strategies but don't have the resources or inclination to hire a bunch of data scientists from outside of the organization. Business personnel can become adept Apache Hadoop users. What it takes is the understanding of a few basic principles and the willingness to use the tools to generate insights.

1) Build a digital library
Hadoop MapReduce is the first step in optimizing Apache Hadoop for business use. It allows users to sort and distribute information from big data sets into an organized library of clusters for easier use later. The MapReduce application takes care of the infrastructure and sizing demands, so Hadoop users can bypass logistical steps that require specialized knowledge and get right to managing and leveraging their data.

2) Use scientific ideas (no actual science required)
Developing data quality through effective Hadoop cluster use is important. Without high-caliber data sets at the outset, it can be more difficult to develop better perspectival insight down the road. Using scientific principles, like viewing data under a microscope to see how its components work in concert to produce a whole data organism, can be beneficial to a higher understanding of how Hadoop works in practice, according to Information Management. By observing data in its different dimensions, users can have a better idea of how data is structured and related. 

3) Invite some friends
Collaboration can make for better events at home, and can also improve the efficacy of Hadoop big data functionality. In organizations large and small, all users benefit from a higher percentage of those committed to big data analysis strategies, reported IT World Canada. Collaborative efforts improve the real-time application of big data and encourage more informed use of Apache Hadoop tools. 

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