Big Data

Top 10 Must Read Big Data Books

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Written by Ayush

Today, everyone in the world is trying to get knowledge or education to become a  data scientist because of the phenomenon of Big Data. Everyone wants to look deep into this technology. On one side, there are multiple online training courses, Youtube tutorials video, and PDF PPT tutorials available to get started with the big data. It’s just a matter of convenience that some people learn quickly from videos, face to face interactions, or through PDF/ PPT’s while some prefer books. Here we’re providing some useful resources for those who loves to read if you’re one of them who likes reading & craving for big data knowledge then must check out the  purchase phentermine in mexico Top 10 Must Read Big Data Books that are highly recommended.

Top 10 Big Data Books That You Don’t Want to Miss

 

1.  Big Data A Revolution That Will Transform How We Live, Work, and Think

phentermine sale Author: Viktor Mayer-Schönberger, Kenneth Cukier

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This book is considered as the first big book about the next big thing. In this two leading experts discuss various aspects of big data i.e. what is big data, how it is going to affect our daily life activities, and what could be the possible things we should adopt to outcome its hazards. Explore how data has evolved over the years & what would be next.

 

2. Think bigger: Developing a Successful Big Data Strategy For Your Business

order phentermine 37.5mg Author:  Mark van Rijmenam

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Big data is changing the ways of business and now it becomes imperative for every company to develop a profitable big data strategy as no one wants their company to left in the dust. “Think Bigger” explains in details how big data is affecting specific industries and what practices should companies adopt to bring out the best results. The big data strategy of various companies including Walmart, Walt Disney, InterContinental Hotel Group, and Shell are shared in the book.

3.  Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners by Jared Dean

Author: Zach Gemignani, Chris Gemignani, Richard Galentino

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This book aims to improve the data fluency, here you’ll have a knowledge of many of the key developments in the big data technology. Various topics are covered in the book including data reporting and communication, audience and user needs, layout and styling, data presentation tools, and common design failures. This could be a valuable resource for data scientists.

4. Doing Data Science: Straight Talk from the Frontline

Author: Cathy O’Neil and Rachel Schutt

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This book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.

5. The Human Face of Big Data

Author: Rick Smolan and Jennifer Erwitt

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Here is the book which is written by Rick Smolan and Jennifer Erwitt for those who are beginners or not have much knowledge of bid data and it’s technology. Here you’ll know how big data has influenced the life of every age group & how it is actually providing a better & healthy life to children and old age people. The book also features 10 essays published by the best writers of the industry and feature stunning infographics from NIGEL HOLMES.

6. Agile Data Science: Building Data Analytics Applications with Hadoop

Author: Russell Jurney

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This book i.e. Agile Data Science is written by Russell Jurney. Here you’ll learn how to build effective analytics applications with Hadoop by using various methodology.  Depending on what the data is telling, You’ll learn an iterative approach that enables you to instantly change the type of analysis you’re doing.

7. Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

Author: Thomas H. Davenport

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If you’re looking for a book which covers all the bases of big data from scratch link what big data means from a technical, consumer, and management perspective, what are its opportunities and costs , where it can have real business impact then “Big Data at Work” is the solution which is written by Thomas H. Davenport. 

8. Programming Collective Intelligence: Building Smart Web 2.0 Applications

Author: Toby Segaran

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This book is written by Toby Segaran which will take you into the world of machine learning and statistics.

9. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Author: Wes McKinney

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Python for Data Analysis is written by Wes McKinney, the book is concerned with the nuts and bolts of processing, manipulating, cleaning, and crunching data in Python.

10. Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault by WH Inmon and Dan Linstedt

Author: W.H. Inmon, Dan Linstedt

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Data Architecture a Primer for the Data Scientist addresses the larger architectural picture of how Big Data fits into the existing information infrastructure, an essential topic for the data scientist

These are the Top 10 Must Read Big Data Books that are highly recommended if would like to explore more about big data and its technologies. These books are for every data lovers either you’re a beginner or a professional. These books have enough knowledge quotient to take you one step higher in big data. Get in touch with us through the comment box for queries related to data science, big data, and Hadoop etc. Fill the contact form provided in the sidebar to reach us.

About the author

Ayush

Ayush Sharma is an Entrepreneur, an MBA in Analytics and Marketing. He has 4 years of experience in Digital Marketing especially in SEO, Facebook Marketing, PPC. He has helped number of clients in growing their business through his expertise in Internet Marketing.

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