
- English
- ePUB (mobile friendly)
- Available on iOS & Android
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.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Acknowledgements
- Detailed Table of Contents
- List of Cases
- About the Authors
- Acknowledgement
- Preface
- Online Resources
- 1 Introduction to Big Data Analytics
- 2 Big Data Technologies
- 3 Apache Spark
- 4 Big Data Storage
- 5 Big Data Analytics and Cloud Computing
- 6 Big Data Analytics and Actionable Insights
- 7 Graph Analytics
- 8 Machine Learning
- 9 Natural Language Processing
- 10 Real-time data analytics
- 11 Big Data Analytics and Visualization
- 12 Going Forward
- Index