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@@ -560,10 +560,6 @@ Initially this mode is limited to the actual editor area and we’re considering
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To toggle the dark mode you can either press `Ctrl-Alt-T` or `Command-Option-T` on Mac while the editor has focus. Alternatively you can control this through the settings menu which is shown by pressing `Ctrl-`, or `Command-`, on Mac.
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-### Scheduling
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-
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-Scheduling is detailed in its [own section](/user/scheduling/). One click scheduling of queries is a work in progress in [HUE-3797](https://issues.cloudera.org/browse/HUE-3797).
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-
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## Dashboard
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Dashboards provide an interactive way to query indexed data quickly and easily. No programming is required and the analysis is done by drag & drops and clicks.
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@@ -574,7 +570,7 @@ Widgets are interconnected together. This is great for exploring new datasets or
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-The best supported engine is Apache Solr, then support for SQL databases is getting better. To help add more SQL support, feel free to check the [dashboard connector](/developer/connectors/#dashboard) section.
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+The best supported engine is Apache Solr, then support for SQL databases is getting better. To help add more SQL support, feel free to check the [dashboard connector](/developer/development/#connectors) section.
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These tutorials showcase the capabilities:
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@@ -674,7 +670,7 @@ All the spark-submit, spark-shell, pyspark, sparkR properties of jobs & shells c
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### Spark
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-Hue relies on [Livy](http://livy.io/) for the interactive Scala, Python, SparkSQL and R snippets. Batch submission is both compatible with Livy and Apache Oozie as described in the [scheduling section](/user/scheduling/).
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+Hue relies on [Livy](http://livy.io/) for the interactive Scala, Python, SparkSQL and R snippets.
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Livy is an open source REST interface for interacting with Apache Spark from anywhere. It got initially developed in the Hue project but got a lot of traction and was moved to its own project on livy.io.
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@@ -927,12 +923,3 @@ Type [Apache Pig](https://pig.apache.org/) latin instructions to load/merge data
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**Apache Sqoop**
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Run an [SQL import](/user/browsing/#relational-databases) from a traditional relational database via an [Apache Sqoop](https://sqoop.apache.org/) command.
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-
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-**Java**
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-Described in the [scheduling section](/user/scheduling/).
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-
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-**MapReduce**
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-Described in the [scheduling section](/user/scheduling/).
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-
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-**Shell script**
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-Described in the [scheduling section](/user/scheduling/).
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