Summary

In this chapter, we got a high-level overview of Big Data and some of the components of implementing a Big Data solution in the Enterprise. Big Data requires selection of an optimal software and hardware stack, an effort that is non-trivial, not least because of the hundreds of solutions in the industry. Although the topic of a Big Data strategy may be deemed as a subject best left for management rather than a technical audience, it is essential to understand the nuances.

Note that without a proper, well-defined strategy and corresponding high level support, IT departments will remain limited in the extent to which they can provide successful solutions. Further, the solution, including the hardware-software stack should be such that it can be adequately managed and supported by existing IT resources. Most companies will find that it would be essential to recruit new hires for the Big Data implementation. Since such implementations require evaluation of various elements - business needs, budget, resources and other variables, a lead time, often of a few months to an year and more would be needed depending on the scale and scope.

These topics will be discussed in depth in later chapters and this section serves as a preliminary introduction to the subject.