Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale, 1st edition

Published by Addison-Wesley Professional (December 8, 2016) © 2017

  • Ofer Mendelevitch
  • Casey Stella
  • Douglas Eadline
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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.
  • 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
  • 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
  • Appendix C: Additional Background on Data Science and Apache Hadoop and Spark

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