Credits
by Matthew Hallett, David George, Antoine Amend, Andrew Morgan
Mastering Spark for Data Science
- Mastering Spark for Data Science
- Mastering Spark for Data Science
- Credits
- Foreword
- About the Authors
- About the Reviewer
- www.PacktPub.com
- Customer Feedback
- Preface
- 1. The Big Data Science Ecosystem
- 2. Data Acquisition
- 3. Input Formats and Schema
- 4. Exploratory Data Analysis
- 5. Spark for Geographic Analysis
- 6. Scraping Link-Based External Data
- 7. Building Communities
- 8. Building a Recommendation System
- 9. News Dictionary and Real-Time Tagging System
- 10. Story De-duplication and Mutation
- 11. Anomaly Detection on Sentiment Analysis
- 12. TrendCalculus
- 13. Secure Data
- 14. Scalable Algorithms
- General principles
- Spark architecture
- Challenges
- Plotting your course
- Design patterns and techniques
- Spark APIs
- Summary pattern
- Expand and Conquer Pattern
- Lightweight Shuffle
- Wide Table pattern
- Broadcast variables pattern
- Combiner pattern
- Optimized cluster
- Redistribution pattern
- Salting key pattern
- Secondary sort pattern
- Filter overkill pattern
- Probabilistic algorithms
- Selective caching
- Garbage collection
- Graph traversal
- Summary
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Authors Andrew Morgan Antoine Amend David George Matthew Hallett |
Copy Editor Safis Editing |
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Reviewer Sumit Pal |
Project Coordinator Shweta H Birwatkar |
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Commissioning Editor Akram Hussain |
Proofreader Safis Editing |
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Acquisition Editor Vinay Argekar |
Indexer Pratik Shirodkar |
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Content Development Editor Amrita Noronha |
Graphics Tania Dutta |
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Technical Editor Sneha Hanchate |
Production Coordinator Arvindkumar Gupta |
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