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Learning Apache Spark 2

You're reading from  Learning Apache Spark 2

Product type Book
Published in Mar 2017
Publisher Packt
ISBN-13 9781785885136
Pages 356 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (18) Chapters

Learning Apache Spark 2
Credits
About the Author
About the Reviewers
www.packtpub.com
Customer Feedback
Preface
1. Architecture and Installation 2. Transformations and Actions with Spark RDDs 3. ETL with Spark 4. Spark SQL 5. Spark Streaming 6. Machine Learning with Spark 7. GraphX 8. Operating in Clustered Mode 9. Building a Recommendation System 10. Customer Churn Prediction 1. Theres More with Spark

References

The following reference articles, YouTube videos, and blogs have been valuable in the information presented in this chapter, and in some cases provided more details around each section. Spark Streaming is a topic that perhaps requires an entire book on its own, and it would be difficult to do justice to this in 30 odd pages. I hope you can refer to the following references for further details and explanations:

  1. http://bit.ly/2dDqmCS
  2. http://spark.apache.org/docs/latest/streaming-programming-guide.html
  3. https://parquet.apache.org/
  4. Setting up SparkR: https://www.youtube.com/watch?v=A5cBAPoidsg
  5. http://spark.apache.org/docs/latest/sql-programming-guide.html
  6. https://databricks.com/blog/2015/07/30/diving-into-apache-spark-streamings-execution-model.html
  7. http://people.csail.mit.edu/matei/papers/2013/sosp_spark_streaming.pdf
  8. http://spark.apache.org/docs/latest/streaming-kafka-integration.html
  9. http://spark.apache.org/docs/latest/streaming-flume-integration.html
  10. http://spark.apache.org/docs/latest...
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