chore(doc): Clean up deployment docs.

dev/docker/ballista-builder.Dockerfile

@@ -31,8 +31,7 @@ RUN curl -fsSL https://deb.nodesource.com/setup_18.x | bash - && \
     apt-get install -y nodejs && \
     npm install -g yarn
 
-# create build user with same UID as
-RUN adduser -q -u $EXT_UID builder --home /home/builder && \
+RUN adduser -q builder --home /home/builder && \
     mkdir -p /home/builder/workspace
 USER builder
 

docs/source/user-guide/deployment/cargo-install.md

@@ -19,7 +19,7 @@
 
 # Deploying a standalone Ballista cluster using cargo install
 
-A simple way to start a local cluster for testing purposes is to use cargo to install
+Another simple way to start a local cluster for testing purposes is to use cargo to install
 the scheduler and executor crates.
 
 ```bash

docs/source/user-guide/deployment/docker-compose.md

@@ -23,27 +23,7 @@ Docker Compose is a convenient way to launch a cluster when testing locally.
 
 ## Build Docker Images
 
-Run the following commands to download the [official Docker image](https://github.com/apache/datafusion-ballista/pkgs/container/datafusion-ballista-standalone):
-
-```bash
-docker pull ghcr.io/apache/datafusion-ballista-standalone:latest
-```
-
-Altenatively run the following commands to clone the source repository and build the Docker images from source:
-
-```bash
-git clone git@github.com:apache/datafusion-ballista.git -b latest
-cd datafusion-ballista
-./dev/build-ballista-docker.sh
-```
-
-This will create the following images:
-
-- `apache/datafusion-ballista-benchmarks:latest`
-- `apache/datafusion-ballista-cli:latest`
-- `apache/datafusion-ballista-executor:latest`
-- `apache/datafusion-ballista-scheduler:latest`
-- `apache/datafusion-ballista-standalone:latest`
+To create the required Docker images please refer to the [docker deployment page](docker.md).
 
 ## Start a Cluster
 

docs/source/user-guide/deployment/docker.md

@@ -27,7 +27,7 @@ Run the following commands to download the [official Docker image](https://githu
 docker pull ghcr.io/apache/datafusion-ballista-standalone:latest
 ```
 
-Altenatively run the following commands to clone the source repository and build the Docker images from source:
+Alternatively run the following commands to clone the source repository and build the Docker images from source:
 
 ```bash
 git clone git@github.com:apache/datafusion-ballista.git

docs/source/user-guide/deployment/kubernetes.md

@@ -41,27 +41,7 @@ microk8s enable dns
 
 ## Build Docker Images
 
-Run the following commands to download the [official Docker image](https://github.com/apache/datafusion-ballista/pkgs/container/datafusion-ballista-standalone):
-
-```bash
-docker pull ghcr.io/apache/datafusion-ballista-standalone:0.12.0-rc4
-```
-
-Altenatively run the following commands to clone the source repository and build the Docker images from source:
-
-```bash
-git clone git@github.com:apache/datafusion-ballista.git -b 0.12.0
-cd datafusion-ballista
-./dev/build-ballista-docker.sh
-```
-
-This will create the following images:
-
-- `apache/datafusion-ballista-benchmarks:0.12.0`
-- `apache/datafusion-ballista-cli:0.12.0`
-- `apache/datafusion-ballista-executor:0.12.0`
-- `apache/datafusion-ballista-scheduler:0.12.0`
-- `apache/datafusion-ballista-standalone:0.12.0`
+To create the required Docker images please refer to the [docker deployment page](docker.md).
 
 ## Publishing Docker Images
 
@@ -267,9 +247,9 @@ kubectl delete -f cluster.yaml
 
 ## Autoscaling Executors
 
-Ballista supports autoscaling for executors through [Keda](http://keda.sh). Keda allows scaling a deployment
-through custom metrics which are exposed through the Ballista scheduler, and it can even scale the number of
-executors down to 0 if there is no activity in the cluster.
+Ballista supports autoscaling for executors through [Keda](http://keda.sh). Keda allows for the scaling of a
+deployment through custom metrics which are exposed through the Ballista scheduler, and it
+can even scale the number of executors down to 0 if there is no activity in the cluster.
 
 Keda can be installed in your kubernetes cluster through a single command line:
 

docs/source/user-guide/introduction.md

@@ -21,17 +21,18 @@
 
 Ballista is a distributed compute platform primarily implemented in Rust, and powered by Apache DataFusion.
 
-Ballista has a scheduler and an executor process that are standard Rust executables and can be executed directly, but
-Dockerfiles are provided to build images for use in containerized environments, such as Docker, Docker Compose, and
-Kubernetes. See the [deployment guide](deployment.md) for more information
+Ballista has both scheduler and an executor component processes that are standard Rust executables.
+
+Dockerfiles are also provided to build images for use in containerized environments, such as Docker, Docker Compose,
+and Kubernetes. See the [deployment guide](deployment.md) for more information.
 
 SQL and DataFrame queries can be submitted from Python and Rust, and SQL queries can be submitted via the Arrow
 Flight SQL JDBC driver, supporting your favorite JDBC compliant tools such as [DataGrip](datagrip)
 or [tableau](tableau). For setup instructions, please see the [FlightSQL guide](flightsql.md).
 
 ## How does this compare to Apache Spark?
 
-Although Ballista is largely inspired by Apache Spark, there are some key differences.
+Although Ballista is largely inspired by Apache Spark, there are some key differences:
 
 - The choice of Rust as the main execution language means that memory usage is deterministic and avoids the overhead
   of GC pauses.

docs/source/user-guide/scheduler.md

@@ -23,7 +23,7 @@
 
 The scheduler also provides a REST API that allows jobs to be monitored.
 
-> This is optional scheduler feature which should be enabled with `rest-api` feature
+> This is optional scheduler feature which should be enabled with the `rest-api` feature.
 
 | API                                  | Method | Description                                                       |
 | ------------------------------------ | ------ | ----------------------------------------------------------------- |