Book Image

Practical Big Data Analytics

By : Nataraj Dasgupta
Book Image

Practical Big Data Analytics

By: Nataraj Dasgupta

Overview of this book

Big Data analytics relates to the strategies used by organizations to collect, organize, and analyze large amounts of data to uncover valuable business insights that cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization’s data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages, and BI tools, selecting the right combination of technologies is an even greater challenge. This book will help you do that. With the help of this guide, you will be able to bridge the gap between the theoretical world of technology and the practical reality of building corporate Big Data and data science platforms. You will get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB, and even learn how to write R code for neural networks. By the end of the book, you will have a very clear and concrete understanding of what Big Data analytics means, how it drives revenues for organizations, and how you can develop your own Big Data analytics solution using the different tools and methods articulated in this book.
Table of Contents (16 chapters)
Title Page
Packt Upsell
Contributors
Preface

Contributors

About the author

Nataraj Dasgupta is the vice president of Advanced Analytics at RxDataScience Inc. Nataraj has been in the IT industry for more than 19 years and has worked in the technical and analytics divisions of Philip Morris, IBM, UBS Investment Bank and Purdue Pharma. He led the data science division at Purdue Pharma L.P. where he developed the company’s award-winning big data and machine learning platform. Prior to Purdue, at UBS, he held the role of associate director working with high frequency and algorithmic trading technologies in the Foreign Exchange trading division of the bank.

 

I'd like to thank my wife, Suraiya, for her caring, support, and understanding as I worked during long weekends and evening hours and to my parents, in-laws, sister and grandmother for all the support, guidance, tutelage and encouragement over the years. I'd also like to thank Packt, especially the editors, Tejas, Dinesh, Vinay, and the team whose persistence and attention to detail has been exemplary.

About the reviewer

Giancarlo Zaccone has more than 10 years experience in managing research projects both in scientific and industrial areas. He worked as a researcher at the C.N.R, the National Research Council, where he was involved in projects on parallel numerical computing and scientific visualization. He is a senior software engineer at a consulting company, developing and testing software systems for space and defense applications. He holds a master's degree in physics from the Federico II of Naples and a second level postgraduate master course in scientific computing from La Sapienza of Rome.

 

 

 

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