Spark/Databricks: Implement suggestions by CodeRabbit

Author: amotl

docs/integrate/databricks/azure-databricks.md

@@ -18,7 +18,7 @@ This is a quick intro into getting started with [Azure Databricks](https://azure
 1. Create a new notebook of default language Python
 2. Add the following code and run the notebook
 
-```
+```python
 crateUsername = "<username>"
 cratePassword = "<password>"
 postgresqlUrl = "jdbc:postgresql://<url-to-server>:5432/?sslmode=require";
@@ -43,7 +43,7 @@ jdbcDF.head(n=10)
 1. Create a new notebook with default language Scala
 2. Add the following code and run the notebook
 
-```
+```scala
 val crateUsername = "<username>"
 val cratePassword = "<password>"
 val postgresqlUrl = "jdbc:postgresql://<url-to-server>:5432/?sslmode=require";

docs/integrate/spark/usage.md

@@ -9,6 +9,7 @@ Prerequisites:
 
 1. Running instance of [CrateDB](https://console.cratedb.cloud/)
 2. Python 3.x
+3. Java 11 or later
 
 ## Provision seed data to CrateDB
 
@@ -65,7 +66,8 @@ This usage guide will work with a single-node Apache Spark installation running
    pyspark --version
    ```
 
-4. Finally, as CrateDB communicates with Spark via JDBC, download the [Postgres JDBC driver](https://jdbc.postgresql.org/download/) in your working directory. In this usage guide, we use the `postgresql-42.6.0.jar` driver.
+4. Finally, as CrateDB communicates with Spark via JDBC, download the [Postgres JDBC driver](https://jdbc.postgresql.org/download/) in your working directory.
+   In this usage guide, we use the `postgresql-42.6.0.jar` driver.
 
 
 ## Data analysis