Big Data Analytics - A Hands-On Approach
File Type : PDF
Language : English
Description
Big data is defined as collections of datasets whose volume, velocity or variety is so large that it is difficult to store, manage, process and analyze the data using traditional databases and data processing tools. In the recent years, there has been an exponential growth in the both structured and unstructured data generated by information technology, industrial, health care, retail, web, and other systems. Big data science and analytics deals with collection, storage, processing and analysis of massive-scale data on cloud-based computing systems. Industry surveys, by Gartner and e-Skills, for instance, predict that there will be over 2 million job openings for engineers and scientists trained in the area of data science and analytics alone, and that the job market is in this area is growing at a 150 percent year-over-year growth rate.
There are very few books that can serve as a foundational textbook for colleges looking to create new educational programs in these areas of big data science and analytics. Existing books are primarily focused on the business side of analytics, or describing vendor-specific offerings for certain types of analytics applications, or implementation of certain analytics algorithms in specialized languages, such as R.
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