Remove Upload CSV from getting started docs

docs/getting-started.asciidoc

@@ -6,7 +6,7 @@ key Kibana functionality. By the end of this tutorial, you will have:
 
 * Loaded a sample data set into your Elasticsearch installation
 * Defined at least one index pattern
-* Use the <<discover, Discover>> functionality to explore your data
+* Used the <<discover, Discover>> functionality to explore your data
 * Set up some <<visualize,_visualizations_>> to graphically represent your data
 * Assembled visualizations into a <<dashboard,Dashboard>>
 
@@ -27,14 +27,15 @@ The tutorials in this section rely on the following data sets:
 
 * The complete works of William Shakespeare, suitably parsed into fields. Download this data set by clicking here:
   https://www.elastic.co/guide/en/kibana/3.0/snippets/shakespeare.json[shakespeare.json].
-* A set of fictitious accounts with randomly generated data, in CSV format. Download this data set by clicking here:
-  https://raw.githubusercontent.com/elastic/kibana/master/docs/tutorial/accounts.csv[accounts.csv]
+* A set of fictitious accounts with randomly generated data. Download this data set by clicking here: 
+  https://github.com/bly2k/files/blob/master/accounts.zip?raw=true[accounts.zip]
 * A set of randomly generated log files. Download this data set by clicking here:
   https://download.elastic.co/demos/kibana/gettingstarted/logs.jsonl.gz[logs.jsonl.gz]
 
-Extract the logs with the following command:
+Two of the data sets are compressed. Use the following commands to extract the files:
 
 [source,shell]
+unzip accounts.zip
 gunzip logs.jsonl.gz
 
 The Shakespeare data set is organized in the following schema:
@@ -81,8 +82,6 @@ field's searchability or whether or not it's _tokenized_, or broken up into sepa
 
 Use the following command to set up a mapping for the Shakespeare data set:
 
-=============
-
 [source,shell]
 curl -XPUT http://localhost:9200/shakespeare -d '
 {
@@ -99,8 +98,6 @@ curl -XPUT http://localhost:9200/shakespeare -d '
 }
 ';
 
-=============
-
 This mapping specifies the following qualities for the data set:
 
 * The _speaker_ field is a string that isn't analyzed. The string in this field is treated as a single unit, even if
@@ -170,29 +167,16 @@ curl -XPUT http://localhost:9200/logstash-2015.05.20 -d '
 }
 ';
 
-At this point we're ready to use the Elasticsearch {ref}/docs-bulk.html[`bulk`] API to load the data sets with the
-following commands:
+The accounts data set doesn't require any mappings, so at this point we're ready to use the Elasticsearch 
+{ref}/docs-bulk.html[`bulk`] API to load the data sets with the following commands:
 
 [source,shell]
+curl -XPOST 'localhost:9200/bank/account/_bulk?pretty' --data-binary @accounts.json
 curl -XPOST 'localhost:9200/shakespeare/_bulk?pretty' --data-binary @shakespeare.json
 curl -XPOST 'localhost:9200/_bulk?pretty' --data-binary @logs.jsonl
 
 These commands may take some time to execute, depending on the computing resources available.
 
-To load the Accounts data set, click the *Management* image:images/SettingsButton.jpg[gear icon] tab, the
-select *Upload CSV*.
-
-image::images/management-panel.png[kibana management panel]
-
-Click *Select File*, then navigate to the `accounts.csv` file. Review the sample, then click *Next*.
-
-image::images/csv-sample.png[sample csv import]
-
-Review the index pattern built by the CSV import function. You can change any field types from the drop-downs, but for
-this tutorial, accept the defaults. Enter `bank` as the name for the index pattern, then click *Save*.
-
-image::images/sample-index.png[sample index pattern]
-
 Verify successful loading with the following command:
 
 [source,shell]