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Merge pull request #113197 from dagiro/572378c
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articles/hdinsight/spark/spark-best-practices.md

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@@ -25,8 +25,8 @@ This article provides various guidelines for using Apache Spark on Azure HDInsig
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| Remote job submission with Livy | [Use Apache Spark REST API to submit remote jobs to an HDInsight Spark cluster](./apache-spark-livy-rest-interface.md) |
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|[Apache Oozie](../hdinsight-use-oozie-linux-mac.md)|Oozie is a workflow and coordination system that manages Hadoop jobs.|
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|[Apache Livy](./apache-spark-livy-rest-interface.md)|You can use Livy to run interactive Spark shells or submit batch jobs to be run on Spark.|
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|[Azure Data Factory for Apache Spark](/../data-factory/transform-data-using-spark.md)|The Spark activity in a Data Factory pipeline executes a Spark program on your own or [on-demand HDInsight cluster.|
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|[Azure Data Factory for Apache Hive](/../data-factory/transform-data-using-hadoop-hive.md)|The HDInsight Hive activity in a Data Factory pipeline executes Hive queries on your own or on-demand HDInsight cluster.|
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|[Azure Data Factory for Apache Spark](../../data-factory/transform-data-using-spark.md)|The Spark activity in a Data Factory pipeline executes a Spark program on your own or [on-demand HDInsight cluster.|
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|[Azure Data Factory for Apache Hive](../../data-factory/transform-data-using-hadoop-hive.md)|The HDInsight Hive activity in a Data Factory pipeline executes Hive queries on your own or on-demand HDInsight cluster.|
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## How do I monitor and debug Spark jobs?
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