KSQL-473: point quickstart non-docker docs to release tarballs (#601)

* KSQL-473: point quickstart non-docker docs to release tarballs

Point the quickstart non-docker instructions to the release tarball
on s3. Release tarballs are manually generated and uploaded to the
ksql-releases s3 bucket. This change also updates the instructions
accordingly.

Point the main readme to the release-tagged documentation.

* Move the doc links back inline

* Remove git step

README.md

@@ -11,8 +11,8 @@ Click here to watch a screencast of the KSQL demo on YouTube.
 # Quick Start
 If you are ready to see the power of KSQL, try out these:
 
-- [KSQL Quick Start](/docs/quickstart#quick-start): Demonstrates a simple workflow using KSQL to write streaming queries against data in Kafka.
-- [Clickstream Analysis Demo](/ksql-clickstream-demo#clickstream-analysis): Shows how to build an application that performs real-time user analytics.
+- [KSQL Quick Start](https://github.com/confluentinc/ksql/tree/v0.3/docs/quickstart#quick-start): Demonstrates a simple workflow using KSQL to write streaming queries against data in Kafka.
+- [Clickstream Analysis Demo](https://github.com/confluentinc/ksql/tree/v0.3/ksql-clickstream-demo#clickstream-analysis): Shows how to build an application that performs real-time user analytics.
 
 # Use Cases and Examples
 
@@ -61,7 +61,7 @@ CREATE TABLE error_counts AS
 
 
 # Documentation
-You can [find the KSQL documentation here](/docs#ksql-documentation).
+You can [find the KSQL documentation here](https://github.com/confluentinc/ksql/tree/v0.3/docs#ksql-documentation)
 
 # Join the Community
 Whether you need help, want to contribute, or are just looking for the latest news, you can find out how to [connect with your fellow Confluent community members here](https://www.confluent.io/contact-us-thank-you/).
@@ -78,4 +78,3 @@ Contributions to the code, examples, documentation, etc, are very much appreciat
 The project is licensed under the Apache License, version 2.0.
 
 *Apache, Apache Kafka, Kafka, and associated open source project names are trademarks of the [Apache Software Foundation](https://www.apache.org/).*
-

docs/quickstart/quickstart-non-docker.md

@@ -15,8 +15,6 @@ This part of the quick start will guide you through the steps to setup a Kafka c
 - KSQL is in developer preview. Do not run KSQL against a production cluster.
 - [Confluent Platform 4.0.0](http://docs.confluent.io/current/installation.html) is installed. This installation includes a Kafka broker, ZooKeeper, Schema Registry, REST Proxy, and Kafka Connect.
   - If you installed Confluent Platform via tar or zip, navigate into the installation directory. The paths and commands used throughout this quick start assume that your are in this installation directory.
-- [Maven](https://maven.apache.org/install.html)
-- [Git](https://git-scm.com/downloads)
 - Java: Minimum version 1.8. Install Oracle Java JRE or JDK \>= 1.8 on your local machine
 
 ## Start Kafka
@@ -44,24 +42,20 @@ connect is [UP]
 
 ## Start KSQL
 
-1.  Clone the Confluent KSQL repository.
+1. Download the [KSQL 0.3 release tarball](https://s3-us-west-2.amazonaws.com/ksql-releases/releases/0.3/ksql.tgz).
+
+1. Unpack the release tarball.
 
     ```bash
-    $ git clone [email protected]:confluentinc/ksql.git
+    $ tar -xzf ksql.tgz
     ```
 
-1.  Change directory to the `ksql` directory and compile the code.
+1.  Change directory to the `ksql` directory.
 
     ```bash
     $ cd ksql
-    $ git checkout v0.3 -b 0.3
-    $ mvn clean compile install -DskipTests
     ```
 
-    > Tip: When using a Maven proxy or mirror, such as Artifactory, make sure that it is correctly configured to
-    > retrieve snapshot artifacts and access snapshot repositories. For more information, see
-    > [Could not find artifact](https://github.com/confluentinc/ksql/issues/537).
-
 1.  Start KSQL. The `local` argument starts KSQL in [standalone mode](/docs/concepts.md#modes-of-operation).
 
     ```bash
@@ -82,20 +76,18 @@ Minimally, to use the [quick start exercises](/docs/quickstart#quick-start), you
 1.  Produce Kafka data to the `pageviews` topic using the data generator. The following example continuously generates data with a value in DELIMITED format.
 
     ```bash
-    $ java -jar ksql-examples/target/ksql-examples-4.1.0-SNAPSHOT-standalone.jar \
-        quickstart=pageviews format=delimited topic=pageviews maxInterval=10000
+    $ ./bin/ksql-datagen quickstart=pageviews format=delimited topic=pageviews maxInterval=10000
     ```
 
 1.  Produce Kafka data to the `users` topic using the data generator. The following example continuously generates data with a value in JSON format.
 
     ```bash
-    $ java -jar ksql-examples/target/ksql-examples-4.1.0-SNAPSHOT-standalone.jar \
-        quickstart=users format=json topic=users maxInterval=10000
+    $ ./bin/ksql-datagen quickstart=users format=json topic=users maxInterval=10000
     ```
 
 Optionally, you can return to the [main KSQL quick start page](/docs/quickstart#quick-start) to start querying the Kafka cluster. Or you can do additional testing with topic data produced from the command line tools.
 
-1.  You can produce Kafka data with the Kafka command line `kafka-console-producer`. The following example generates data with a value in DELIMITED format.
+1.  You can produce Kafka data with the Kafka command line `kafka-console-producer` provided with the Confluent Platform. The following example generates data with a value in DELIMITED format.
 
     ```bash
     $ kafka-console-producer --broker-list localhost:9092  \