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Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale

Practical Data Science with Hadoop and Spark:   Designing and Building Effective Analytics at Scale

  • Ofer Mendelevitch
  • Douglas Eadline
  • Casey Stella
  • Author: Ofer Mendelevitch
    • ISBN:9789332586888
    • 10 Digit ISBN:9332586888
    • Price:Rs. 349.00
    • Pages:256
    • Imprint:Pearson Education
    • Binding:Paperback
    • Status:Available

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    This book provides a unique perspective on applying data science with Hadoop by explaining what data science with Hadoop is all about, its practical business applications, and then diving deep into the details and providing a hands-on tutorial and showcase of various use-cases from the real world. The authors bring together all the practical knowledge students will need to do real, useful data science with Hadoop.


    Table of Content

    Part I: Data Science with Hadoop—An Overview
    Chapter 1: Introduction to Data Science
    Chapter 2: Use Cases for Data Science
    Chapter 3: Hadoop and Data Science

    Part II: Preparing and Visualizing Data with Hadoop

    Chapter 4: Getting Data into Hadoop
    Chapter 5: Data Munging with Hadoop
    Chapter 6: Exploring and Visualizing Data

    Part III: Applying Data Modeling with Hadoop
    Chapter 7: Machine Learning with Hadoop
    Overview of Machine Learning
    Chapter 8: Predictive Modeling
    Chapter 9: Clustering
    Chapter 10: Anomaly Detection with Hadoop
    Chapter 11: Natural Language Processing
    Chapter 12: Data Science with Hadoop—The Next Frontier

    Appendix A: Book Web Page and Code Download
    Appendix B: HDFS Quick Start
    Quick Command Dereference 

    Salient Features

    Responds to soaring demand for practical information about applying data science and Big Data in Hadoop environments
    Brings together practical business applications, deep-dive technical detail, hands-on Hadoop and data science tutorials, and showcases of innovative use cases
    Goes far beyond simple analytics to illuminate cutting-edge techniques and applications
    Reflects the authors' unique real-world experience with Hortonworks' enterprise Hadoop customers