Big Data Analytics for Dummies

Big Data Analytics For Dummies provides an understanding of how the analytics process on large or mixed data types differs from traditional data mining and predictive analytics methodologies. The book provides need-to-know information about how to determine the kinds of questions that big-data analytics can answer that traditional analytics and data mining cannot. The book shows business managers how to compute the return on investment of implementing a big data analytics framework as well as a broad framework for creating a project from inception to product.

The book provides a primer with real-world examples on how to use programming techniques such as MapReduce, Pig, and Hive to gain insights from large amounts of data.

Series features: Big Data Analytics For Dummies provides the reader with useful, get-in-get-out information and active, hands-on learning presented with a splash of humor that has made a wide range of topics approachable for the reader for more than 20 years.