Added Jupyter notebook and some more doc tweaks

Author: rjrudin

docs/getting-started/jupyter.md

@@ -46,5 +46,10 @@ jar on your filesystem. You are free to customize the `spark` variable in any ma
 Now that you have an initialized Spark session, you can run any of the examples found in the 
 [guide for using PySpark](pyspark.md).
 
+## Example notebook
 
-
+The [getting-started example project](https://github.com/marklogic/marklogic-spark-connector/tree/master/examples/getting-started)
+includes an 
+[example notebook](https://github.com/marklogic/marklogic-spark-connector/tree/master/examples/getting-started/marklogic-spark-getting-started.ipynb)
+that you can open in Jupyter Notebook. This allows you to try a few examples with a working notebook without having to 
+enter anything in. 

docs/index.md

@@ -5,7 +5,10 @@ nav_order: 1
 ---
 
 The MarkLogic Spark connector is an [Apache Spark 3 connector](https://spark.apache.org/docs/latest/) that supports
-reading data from and writing data to MarkLogic.
+reading data from and writing data to MarkLogic. Within any Spark 3 environment, the connector enables users to easily 
+query for data in MarkLogic, manipulate it using widely-known Spark operations, and then write results back to 
+MarkLogic or disseminate them to another system. Data can also be easily imported into MarkLogic by first reading it 
+from any data source that Spark supports and then writing it to MarkLogic.
 
 The connector has the following system requirements: