[MINOR] Fix missing xtable prefix to utilities-bundled.jar in docs

website/docs/biglake-metastore.md

@@ -25,7 +25,7 @@ This document walks through the steps to register an Apache XTable™ (Incubatin
    export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service_account_key.json
    ```
 5. Clone the Apache XTable™ (Incubating) [repository](https://github.com/apache/incubator-xtable) and create the
-   `utilities-0.1.0-SNAPSHOT-bundled.jar` by following the steps on the [Installation page](/docs/setup)
+   `xtable-utilities-0.1.0-SNAPSHOT-bundled.jar` by following the steps on the [Installation page](/docs/setup)
 6. Download the [BigLake Iceberg JAR](gs://spark-lib/biglake/biglake-catalog-iceberg1.2.0-0.1.0-with-dependencies.jar) locally.
    Apache XTable™ (Incubating) requires the JAR to be present in the classpath.
 

website/docs/glue-catalog.md

@@ -19,7 +19,7 @@ This document walks through the steps to register an Apache XTable™ (Incubatin
    also set up access credentials by following the steps
    [here](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-quickstart.html)
 3. Clone the Apache XTable™ (Incubating) [repository](https://github.com/apache/incubator-xtable) and create the
-   `utilities-0.1.0-SNAPSHOT-bundled.jar` by following the steps on the [Installation page](/docs/setup)
+   `xtable-utilities-0.1.0-SNAPSHOT-bundled.jar` by following the steps on the [Installation page](/docs/setup)
 
 ## Steps
 ### Running sync

website/docs/hms.md

@@ -17,7 +17,7 @@ This document walks through the steps to register an Apache XTable™ (Incubatin
    or a distributed system like Amazon EMR, Google Cloud's Dataproc, Azure HDInsight etc.
    This is a required step to register the table in HMS using a Spark client.
 3. Clone the XTable™ (Incubating) [repository](https://github.com/apache/incubator-xtable) and create the
-   `utilities-0.1.0-SNAPSHOT-bundled.jar` by following the steps on the [Installation page](/docs/setup) 
+   `xtable-utilities-0.1.0-SNAPSHOT-bundled.jar` by following the steps on the [Installation page](/docs/setup) 
 4. This guide also assumes that you have configured the Hive Metastore locally or on EMR/Dataproc/HDInsight
    and is already running.
 

website/docs/how-to.md

@@ -24,7 +24,7 @@ history to enable proper point in time queries.
 1. A compute instance where you can run Apache Spark. This can be your local machine, docker,
    or a distributed service like Amazon EMR, Google Cloud's Dataproc, Azure HDInsight etc
 2. Clone the Apache XTable™ (Incubating) [repository](https://github.com/apache/incubator-xtable) and create the
-   `utilities-0.1.0-SNAPSHOT-bundled.jar` by following the steps on the [Installation page](/docs/setup)
+   `xtable-utilities-0.1.0-SNAPSHOT-bundled.jar` by following the steps on the [Installation page](/docs/setup)
 3. Optional: Setup access to write to and/or read from distributed storage services like:
    * Amazon S3 by following the steps 
    [here](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html) to install AWSCLIv2 

website/docs/unity-catalog.md

@@ -17,7 +17,7 @@ This document walks through the steps to register an Apache XTable™ (Incubatin
 3. Create a Unity Catalog metastore in Databricks as outlined [here](https://docs.gcp.databricks.com/data-governance/unity-catalog/create-metastore.html#create-a-unity-catalog-metastore).
 4. Create an external location in Databricks as outlined [here](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-location.html).
 5. Clone the Apache XTable™ (Incubating) [repository](https://github.com/apache/incubator-xtable) and create the
-   `utilities-0.1.0-SNAPSHOT-bundled.jar` by following the steps on the [Installation page](/docs/setup)
+   `xtable-utilities-0.1.0-SNAPSHOT-bundled.jar` by following the steps on the [Installation page](/docs/setup)
 
 ## Steps
 ### Running sync