docs/quickstart/spark_with_zeppelin.md

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# Spark support in Zeppelin 

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For a brief overview of Apache Spark fundamentals with Apache Zeppelin, see the following guide:

- **built-in** Apache Spark integration.
- with [SparkSQL](http://spark.apache.org/sql/), [PySpark](https://spark.apache.org/docs/latest/api/python/pyspark.html), [SparkR](https://spark.apache.org/docs/latest/sparkr.html)
- inject [SparkContext](https://spark.apache.org/docs/latest/api/java/org/apache/spark/SparkContext.html), [SQLContext](https://spark.apache.org/docs/latest/sql-programming-guide.html) and [SparkSession](https://spark.apache.org/docs/latest/sql-programming-guide.html) automatically
- canceling job and displaying its progress 
- supporting [Spark Cluster Mode](../setup/deployment/spark_cluster_mode.html#apache-zeppelin-on-spark-cluster-mode) for external spark clusters
- supports [different context per user / note](../usage/interpreter/interpreter_binding_mode.html) 
- sharing variables among PySpark, SparkR and Spark through [ZeppelinContext](../interpreter/spark.html#zeppelincontext)
- [Livy Interpreter](../interpreter/livy.html)

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For the further information about Spark support in Zeppelin, please check 

- [Spark Interpreter](../interpreter/spark.html)