A Hands-on Introduction to Big Data Analytics
eBook - ePub

A Hands-on Introduction to Big Data Analytics

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

A Hands-on Introduction to Big Data Analytics

About this book

This practical textbook offers a hands-on introduction to big data analytics, helping you to develop the skills required to hit the ground running as a data professional.

It complements theoretical foundations with an emphasis on the application of big data analytics, illustrated by real-life examples and datasets. Containing comprehensive coverage of all the key topics in this area, this book uses open-source technologies and examples in PythonĀ andĀ Apache Spark.

Learning features include:

Ā -Ā Ethics by DesignĀ encourages you to consider data ethics at every stage.
Ā -Ā Industry InsightsĀ facilitate aĀ deeper understanding of the link between what you are studying and how it is applied in industry.
Ā -Ā Datasets, questions, and exercisesĀ giveĀ you the opportunity to apply your learning.

Dr Funmi ObembeĀ is the Head of Technology at the Faculty of Arts, Science and Technology, University of Northampton.

Dr Ofer Engel isĀ aĀ Data Scientist at the University of Groningen.

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Yes, you can access A Hands-on Introduction to Big Data Analytics by Funmi Obembe,Ofer Engel in PDF and/or ePUB format, as well as other popular books in Business & Business General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Acknowledgements
  7. Detailed Table of Contents
  8. List of Cases
  9. About the Authors
  10. Acknowledgement
  11. Preface
  12. Online Resources
  13. 1 Introduction to Big Data Analytics
  14. 2 Big Data Technologies
  15. 3 Apache Spark
  16. 4 Big Data Storage
  17. 5 Big Data Analytics and Cloud Computing
  18. 6 Big Data Analytics and Actionable Insights
  19. 7 Graph Analytics
  20. 8 Machine Learning
  21. 9 Natural Language Processing
  22. 10 Real-time data analytics
  23. 11 Big Data Analytics and Visualization
  24. 12 Going Forward
  25. Index