holdenk commented on code in PR #713: URL: https://github.com/apache/spark-website/pull/713#discussion_r4392283721
########## documentation.md: ########## @@ -228,18 +228,24 @@ Slides, videos and EC2-based exercises from each of these are available online: <h3>Books</h3> <ul> <li><a href="https://www.oreilly.com/library/view/learning-spark-2nd/9781492050032/";>Learning Spark, 2nd Edition</a>, by Jules S. Damji, Brooke Wenig, Tathagata Das and Denny Lee (O'Reilly Media)</li> + <li><a href="https://www.oreilly.com/library/view/high-performance-spark/9781098145842/";>High Performance Spark, 2nd edition</a> by Holden Karau Adi Polak, and Rachel Warren (O'Reilly Media)</li> <li><a href="https://www.oreilly.com/library/view/spark-the-definitive/9781491912201/";>Spark: The Definitive Guide</a>, by Bill Chambers and Matei Zaharia (O'Reilly Media)</li> <li><a href="https://www.manning.com/books/spark-in-action-second-edition";>Spark in Action, 2nd Edition</a>, by Jean-Georges Perrin (Manning)</li> <li><a href="https://www.oreilly.com/library/view/advanced-analytics-with/9781491972946/";>Advanced Analytics with Spark, 2nd Edition</a>, by Josh Wills, Sean Owen, Sandy Ryza and Uri Laserson (O'Reilly Media)</li> - <li><a href="https://www.manning.com/books/spark-graphx-in-action";>Spark GraphX in Action</a>, by Michael Malak (Manning)</li> + <li><a href="https://www.manning.com/books/spark-graphx-in-action";>Spark GraphX in Action</a>, by Michael Malak and Robin East (Manning)</li> <li><a href="https://www.packtpub.com/big-data-and-business-intelligence/fast-data-processing-spark-second-edition";>Fast Data Processing with Spark</a>, by Krishna Sankar and Holden Karau (Packt Publishing)</li> - <li><a href="https://www.packtpub.com/big-data-and-business-intelligence/machine-learning-spark";>Machine Learning with Spark</a>, by Nick Pentreath (Packt Publishing)</li> + <li><a href="https://www.packtpub.com/en-us/product/machine-learning-with-spark-9781785889936?utm_source=chatgpt.com";>Machine Learning with Spark: Develop intelligent, distributed machine learning systems , Second Edition</a>, by Rajdeep Dua, Manpreet Singh Ghotra, Brian O'Neill, Stephen Boesch, Nick Pentreath (Packt Publishing)</li> <li><a href="https://www.packtpub.com/big-data-and-business-intelligence/spark-cookbook";>Spark Cookbook</a>, by Rishi Yadav (Packt Publishing)</li> <li><a href="https://www.packtpub.com/big-data-and-business-intelligence/apache-spark-graph-processing";>Apache Spark Graph Processing</a>, by Rindra Ramamonjison (Packt Publishing)</li> <li><a href="https://www.packtpub.com/big-data-and-business-intelligence/mastering-apache-spark";>Mastering Apache Spark</a>, by Mike Frampton (Packt Publishing)</li> + <li><a href="https://www.oreilly.com/library/view/mastering-spark-with/9781492046363/";>Mastering Spark with R</a> by Javier Luraschi, Kevin Kuo, and Edgar Ruiz (O'Reilly Media)</li> Review Comment: Yeah I was going back on forth and this, the "right path forward" is to use SparklyR which is not deprecated and uses Spark and infact the start of the book is: `This book explores using Spark from R in detail, focusing on the sparklyr package that enables support for dplyr and other packages known to the R community. It covers all of the main use cases in detail, ranging from querying data using the Spark engine to exploratory data analysis, machine learning, parallel execution of R code, and streaming. It also has a self-contained introduction to running Spark and monitoring job execution. The authors are exactly the right people to write about this topic—Javier, Kevin, and Edgar have been involved in sparklyr development since the project started. I was excited to see how well they’ve assembled this clear and focused guide about using Spark with R.` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
