Chapter 14

Customized Approaches for Analysis of Big Data

In This Chapter

arrow New models and approaches evolving to support big data analysis

arrow Full custom versus semi-custom analysis approaches

arrow Optimal environment for big data analysis

arrow Big to small is the goal

The beauty of big data is that, theoretically, all the data you need, both inside and outside of your company, can be used to drive your analysis. Ideally, this means that if you increase the amount or type of data you analyze, you can derive new insights from it.

As we discuss in Chapters 12 and 13, many tools used to analyze big data are an evolution of what’s already out there in the market in terms of business intelligence and advanced analysis. These include data-mining software, predictive modeling, advanced statistics, and text analytics. As we also mention in the previous two chapters, often, vendors have had to rewrite their algorithms to run this software across new big data infrastructures.

Figure 14-1 shows the focus of this chapter.

According to some experts in the field, the mind-set around analyzing big data is different ...

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