Big Data Analytics For Dummies

Shows business managers how to compute the return on investment of implementing a big data analytics framework for creating a project from inception to product. This book helps you understand how the analytics process on large or mixed data types differs from traditional data mining and predictive analytics methodologies.

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Your one-stop guide to big data analytics. Want to use big data analytics to gain competitive advantage in marketing optimization, operational analysis, and risk analysis? Big Data Analytics For Dummies takes the confusion out of this topic and gives you an easy-to-follow understanding of how the analytics process on large or mixed data types differs from traditional data mining and predictive analytics methodologies. In no time, you'll grasp the need-to-know information about the kinds of questions that big data analytics can answer that traditional analytics and data mining cannot. Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. This information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue. Packed with useful, get-in-get-out information and active, hands-on learning, Big Data Analytics For Dummies offers real-world examples on how to use programming techniques such as MapReduce, Pig, and Hive to gain insight from large amounts of data.
Understand your options in big data analysis; Develop and implement a plan for a big data analytics infrastructure; Gain a competitive edge from your data; Make the switch from analyzing small data sets to analyzing large data sets. Big Data Analytics For Dummies shows business managers how to compute the return on investment of implementing a big data analytics framework for creating a project from inception to product.