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Mastering Apache Cassandra 3.x

You're reading from   Mastering Apache Cassandra 3.x An expert guide to improving database scalability and availability without compromising performance

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789131499
Length 348 pages
Edition 3rd Edition
Languages
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Authors (2):
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Aaron Ploetz Aaron Ploetz
Author Profile Icon Aaron Ploetz
Aaron Ploetz
Tejaswi Malepati Tejaswi Malepati
Author Profile Icon Tejaswi Malepati
Tejaswi Malepati
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Table of Contents (12) Chapters Close

Preface 1. Quick Start FREE CHAPTER 2. Cassandra Architecture 3. Effective CQL 4. Configuring a Cluster 5. Performance Tuning 6. Managing a Cluster 7. Monitoring 8. Application Development 9. Integration with Apache Spark 10. References 11. Other Books You May Enjoy

SparkR

SparkR is an interactive CLI, built-in with Spark, which provides an R interface of developing for processing large amounts of data either from a single source or aggregating from multiple sources. This is the statisticians' CLI for data interaction. As R is a statistician's language, it is a little more complicated than Python, due to the limitations and architecture of R.

SparkR can be found in the bin directory of the binary installations. It also has support for running in local or pseudo mode and, based on which, there would/wouldn't be any master and worker web UI. But the application web UI would be accessible regardless. Refer to the SparkR docs for further information at Spark: R on Spark: https://spark.apache.org/docs/latest/sparkr.html.

Unlike PySpark, SparkR requires the R package to be installed, much like PySpark requires Python, which is built...

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