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HUE-8888 [docs] Enrich some more the end user section

Romain 6 лет назад
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eb5170daba

+ 10 - 0
docs/docs-site/content/administrator/installation/cloud.md

@@ -7,12 +7,22 @@ weight: 3
 
 ## Docker
 
+To start a Hue instance:
+
+    docker run -it -p 8888:8888 gethue/hue:latest
+
 In addition to providing to providing a ready to use image, the [Docker Guide](https://github.com/cloudera/hue/tree/testing/tools/docker) shows how to build it.
 
 It then details how to start the containers and parameterize them.
 
 ## Kubernetes
 
+To start a full Hue service:
+
+    helm repo add gethue https://helm.gethue.com
+    helm repo update
+    helm install gethue/hue
+
 The [Kubernetes Guide](https://github.com/cloudera/hue/tree/testing/tools/kubernetes) shows how to run the services via Helm or native YAML configs.
 
 ### Logs

+ 1 - 1
docs/docs-site/content/developer/development/_index.md

@@ -658,7 +658,7 @@ the word "test" at a word boundary, and nose will find it.
 See apps/hello/src/hello/hello_test.py for an example.
 
 
-#### Running only unit, integration or some or one specific tests
+#### Running only specific tests
 
 To run the unit tests (should take 5-10 minutes):
 

+ 24 - 0
docs/docs-site/content/user/_index.md

@@ -7,3 +7,27 @@ pre = "<b>2. </b>"
 +++
 
 This section describes the main functionalities from a end user point of view.
+
+Hue consists in a single page interface that allow the users to perform data
+analyses without losing any context. The goal is to promote self service and stay simple like Excel
+so that 80% of the user can find, explore and query data and become more data driven.
+
+Please refer to [database list](/administrator/configuration/editor/#connectors) or the main [configuration section](/administrator/configuration/) for all the Database/Data Warehouse connectors.
+
+**1. Find or import your data**
+
+Use the left metadata assists to browse your existing data without losing your editor. The top search will look through your saved queries and matching tables, columns and databases. Objects can be tagged for a quick retrieval or assigning a more “humane” name. If the data does not exist yet, just drag & drop it to trigger the Create Table wizard and to import it in just two steps.
+
+**2. Query your data**
+
+When you found your data, the Editor's autocomplete is extremely powerful as they support 90-100% of the language syntax and will highlight any syntax or logical error. The right assistant provides quick previews of the datasets, which columns or JOINs are popular and recommendations on how to type optimized queries. After the querying, refine your results before exporting to S3/HDFS/ADLS or downloaded as CSV/Excel.
+
+**3. Applications**
+
+* Editor: The goal of Hue's Editor is to make data querying easy and productive. It focuses on SQL but also supports job submissions. It comes with an intelligent autocomplete, search & tagging of data and query assistance.
+* Browsers: Hue's Browsers let you easily search, glance and perform actions on data or jobs in Cloud or on premise clusters.
+* Dashboard: Dashboards are an interactive way to explore your data quickly and easily. No programming is required and the analysis is done by drag & drops and clicks.
+* Scheduler: The application lets you build workflows and then schedule them to run regularly automatically. A monitoring interface shows the progress, logs and allow actions like pausing or stopping jobs.
+
+
+Each app of Hue can be extended to support your own languages or apps as detailed in the [developer guide](../../developer/).

+ 0 - 22
docs/docs-site/content/user/concept/_index.md

@@ -5,28 +5,6 @@ draft: false
 weight: 1
 ---
 
-Hue consists in 4 apps in a single page interface that allow the users to perform data
-analyses without losing any context. The goal is to promote self service and stay simple like Excel
-so that 80% of the user can find, explore and query data and become more data driven.
-
-**1. Find or import your data**
-
-Use the left metadata assists to browse your existing data without losing your editor. The top search will look through your saved queries and matching tables, columns and databases. Objects can be tagged for a quick retrieval or assigning a more “humane” name. If the data does not exist yet, just drag & drop it to trigger the Create Table wizard and to import it in just two steps.
-
-**2. Query your data**
-
-When you found your data, the Editor's autocomplete is extremely powerful as they support 90-100% of the language syntax and will highlight any syntax or logical error. The right assistant provides quick previews of the datasets, which columns or JOINs are popular and recommendations on how to type optimized queries. After the querying, refine your results before exporting to S3/HDFS/ADLS or downloaded as CSV/Excel.
-
-**3. 4 applications**
-
-* Editor: The goal of Hue's Editor is to make data querying easy and productive. It focuses on SQL but also supports job submissions. It comes with an intelligent autocomplete, search & tagging of data and query assistance.
-* Browsers: Hue's Browsers let you easily search, glance and perform actions on data or jobs in Cloud or on premise clusters.
-* Dashboard: Dashboards are an interactive way to explore your data quickly and easily. No programming is required and the analysis is done by drag & drops and clicks.
-* Scheduler: The application lets you build workflows and then schedule them to run regularly automatically. A monitoring interface shows the progress, logs and allow actions like pausing or stopping jobs.
-
-
-Each app of Hue can be extended to support your own languages or apps as detailed in the [developer guide](../../developer/).
-
 ## Interface
 
 The layout simplifies the interface and is a snappy single page app.