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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 valuable references have been used during the chapter, and will aid you in exploring further. Each of the integrations that we have discussed are generally a topic of their own and an entire chapter can be written on them. It would be worthwhile to look deeper into the following reference articles.

  1. http://prod.publicdata.landregistry.gov.uk.s3-website-eu-west-1.amazonaws.com/pp-monthly-update-new-version.csv
  2. http://www.purplemath.com/modules/numbprop.htm
  3. https://en.wikipedia.org/wiki/JSON
  4. http://data.consumerfinance.gov/api/views.json
  5. https://databricks.com/blog/2015/02/17/introducing-dataframes-in-spark-for-large-scale-data-science.html
  6. https://en.wikipedia.org/wiki/Apache_Cassandra
  7. https://www.youtube.com/watch?v=_gFgU3phogQ&feature=youtu.be
  8. https://docs.datastax.com/en/datastax_enterprise/4.5/datastax_enterprise/spark/sparkSave.html
  9. http://blog.cloudera.com/blog/2015/08/apache-spark-comes-to-apache-hbase-with-hbase-spark-module/
  10. https://en.wikipedia.org/wiki/Couchbase_Server...
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