- Big Data Analytics
- Table of Contents
- Big Data Analytics
- Credits
- About the Author
- Acknowledgement
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Big Data Analytics at a 10,000-Foot View
- 2. Getting Started with Apache Hadoop and Apache Spark
- 3. Deep Dive into Apache Spark
- Starting Spark daemons
- Learning Spark core concepts
- Lifecycle of Spark program
- Spark applications
- Persistence and caching
- Spark resource managers – Standalone, YARN, and Mesos
- Summary
- 4. Big Data Analytics with Spark SQL, DataFrames, and Datasets
- History of Spark SQL
- Architecture of Spark SQL
- Introducing SQL, Datasources, DataFrame, and Dataset APIs
- Evolution of DataFrames and Datasets
- Why Datasets and DataFrames?
- When to use RDDs, Datasets, and DataFrames?
- Analytics with DataFrames
- Analytics with the Dataset API
- Data Sources API
- Spark SQL as a distributed SQL engine
- Hive on Spark
- Summary
- 5. Real-Time Analytics with Spark Streaming and Structured Streaming
- 6. Notebooks and Dataflows with Spark and Hadoop
- 7. Machine Learning with Spark and Hadoop
- 8. Building Recommendation Systems with Spark and Mahout
- 9. Graph Analytics with GraphX
- 10. Interactive Analytics with SparkR
- Index
Author
Venkat Ankam
Reviewers
Sreekanth Jella
De Witte Dieter
Commissioning Editor
Akram Hussain
Acquisition Editors
Ruchita Bhansali
Tushar Gupta
Content Development Editor
Sumeet Sawant
Technical Editor
Pranil Pathare
Copy Editors
Vikrant Phadke
Vibha Shukla
Project Coordinator
Shweta H Birwatkar
Proofreader
Safis Editing
Indexer
Mariammal Chettiyar
Graphics
Kirk D'Penha
Production Coordinator
Arvindkumar Gupta
Cover Work
Arvindkumar Gupta
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