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Big Data adoption can enable the sort of innovation that fundamentally alters the structure of a business, either in its products, services or organization. However, innovation management requires care: too many controlling forces can stifle the initiative and dampen the results, and too little oversight can turn a best intentioned project into a science experiment that never delivers promised results. It is against this backdrop that this chapter from Big Data Fundamentals: Concepts, Drivers & Techniques addresses Big Data adoption and planning considerations.
This chapter from Getting Started with Data Science: Making Sense of Data with Analytics introduces the basic concepts of random numbers and probability distributions. It provides a formal introduction of Normal and t-distributions, which are commonly used for statistical models. Finally, it explores hypothesis testing for the comparison of means and correlations.
In this chapter from Oracle PL/SQL by Example, 5th Edition, learn how to make use of variables and the various ways to populate variables. This chapter also covers transactional control in PL/SQL by explaining what it means to commit data as well as how SAVEPOINTs are used.
Pramod Sadalage provides an overview of NoSQL databases, explaining what NoSQL is, types of NoSQL databases, and why and how to choose a NoSQL database.