- Learning PySpark
- Table of Contents
- Learning PySpark
- Credits
- Foreword
- About the Authors
- About the Reviewer
- www.PacktPub.com
- Customer Feedback
- Preface
- 1. Understanding Spark
- 2. Resilient Distributed Datasets
- 3. DataFrames
- 4. Prepare Data for Modeling
- 5. Introducing MLlib
- 6. Introducing the ML Package
- 7. GraphFrames
- Introducing GraphFrames
- Installing GraphFrames
- Preparing your flights dataset
- Building the graph
- Executing simple queries
- Understanding vertex degrees
- Determining the top transfer airports
- Understanding motifs
- Determining airport ranking using PageRank
- Determining the most popular non-stop flights
- Using Breadth-First Search
- Visualizing flights using D3
- Summary
- 8. TensorFrames
- 9. Polyglot Persistence with Blaze
- 10. Structured Streaming
- 11. Packaging Spark Applications
- Index
Authors
Tomasz Drabas
Denny Lee
Reviewer
Holden Karau
Commissioning Editor
Amey Varangaonkar
Acquisition Editor
Prachi Bisht
Content Development Editor
Amrita Noronha
Technical Editor
Akash Patel
Copy Editor
Safis Editing
Project Coordinator
Shweta H Birwatkar
Proofreader
Safis Editing
Indexer
Aishwarya Gangawane
Graphics
Disha Haria
Production Coordinator
Aparna Bhagat
Cover Work
Aparna Bhagat
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