This is an automated email from the ASF dual-hosted git repository.

ashvin pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/incubator-xtable.git

commit f28c50a8d225212395a9f09b87d89735447c763b
Author: Kyle Weller <kywe...@gmail.com>
AuthorDate: Thu Mar 7 22:53:50 2024 -0800

    addressed all current feedback including: removed unused images, corrected 
missing TMs, removed unnecessary newline changes, deleted outdated FAQ entry
---
 README.md                                       |  34 ++----
 website/blog/OneTable-is-now-Apache-XTable.md   |   2 +-
 website/docs/athena.md                          |   2 +-
 website/docs/biglake-metastore.md               |  14 +--
 website/docs/demo/docker.md                     |   4 +-
 website/docs/hms.md                             |  14 +--
 website/docs/how-to.md                          |   8 +-
 website/docs/setup.md                           |   4 +-
 website/docs/spark.md                           |   2 +-
 website/docs/starrocks.md                       |  10 +-
 website/docs/unity-catalog.md                   |   8 +-
 website/docusaurus.config.js                    |   4 +-
 website/static/images/apache-incubator.svg      |  17 ---
 website/static/images/metadata1.svg             | 131 ------------------------
 website/static/images/write-query.png           | Bin 189407 -> 0 bytes
 website/static/images/xtable-icon-white-svg.svg |  74 -------------
 website/static/images/xtable-icon-white.png     | Bin 83504 -> 0 bytes
 website/static/images/xtable-svg.svg            |  72 -------------
 website/static/images/xtable-white-svg.svg      |  72 -------------
 website/static/images/xtable-words.png          | Bin 15930 -> 0 bytes
 website/static/images/xtable-write-anywhere.png | Bin 67463 -> 70168 bytes
 website/static/images/xtable.png                | Bin 77700 -> 0 bytes
 website/static/index.html                       |  13 +--
 23 files changed, 47 insertions(+), 438 deletions(-)

diff --git a/README.md b/README.md
index 9769dce5..cc81f618 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,6 @@ of a few interfaces, which we believe will facilitate the 
expansion of supported
 future.
 
 # Building the project and running tests.
-
 1. Use Java11 for building the project. If you are using some other java 
version, you can
    use [jenv](https://github.com/jenv/jenv) to use multiple java versions 
locally.
 2. Build the project using `mvn clean package`. Use `mvn clean package 
-DskipTests` to skip tests while building.
@@ -23,17 +22,14 @@ future.
 4. Similarly, use `mvn clean verify` or `mvn verify` to run integration tests.
 
 # Style guide
-
 1. We use [Maven Spotless 
plugin](https://github.com/diffplug/spotless/tree/main/plugin-maven) and
    [Google java format](https://github.com/google/google-java-format) for code 
style.
 2. Use `mvn spotless:check` to find out code style violations and `mvn 
spotless:apply` to fix them. Code style check is
    tied to compile phase by default, so code style violations will lead to 
build failures.
 
 # Running the bundled jar
-
 1. Get a pre-built bundled jar or create the jar with `mvn install -DskipTests`
 2. create a yaml file that follows the format below:
-
 ```yaml
 sourceFormat: HUDI
 targetFormats:
@@ -53,12 +49,10 @@ datasets:
   - tableBasePath: 
abfs://contai...@storage.dfs.core.windows.net/multi-partition-dataset
     tableName: multi_partition_dataset
 ```
-
 - `sourceFormat`  is the format of the source table that you want to convert
 - `targetFormats` is a list of formats you want to create from your source 
tables
 - `tableBasePath` is the basePath of the table
-- `tableDataPath` is an optional field specifying the path to the data files. 
If not specified, the tableBasePath will
-  be used. For Iceberg source tables, you will need to specify the `/data` 
path.
+- `tableDataPath` is an optional field specifying the path to the data files. 
If not specified, the tableBasePath will be used. For Iceberg source tables, 
you will need to specify the `/data` path.
 - `namespace` is an optional field specifying the namespace of the table and 
will be used when syncing to a catalog.
 - `partitionSpec` is a spec that allows us to infer partition values. This is 
only required for Hudi source tables. If
   the table is not partitioned, leave it blank. If it is partitioned, you can 
specify a spec with a comma separated list
@@ -72,10 +66,8 @@ datasets:
         - `HOUR`: same as `YEAR` but with hour granularity
     - `format`: if your partition type is `YEAR`, `MONTH`, `DAY`, or `HOUR` 
specify the format for the date string as it
       appears in your file paths
-
 3. The default implementations of table format clients can be replaced with 
custom implementations by specifying a
    client configs yaml file in the format below:
-
 ```yaml
 # sourceClientProviderClass: The class name of a table format's client 
factory, where the client is
 #     used for reading from a table of this format. All user configurations, 
including hadoop config
@@ -85,18 +77,16 @@ datasets:
 #     used for writing to a table of this format.
 # configuration: A map of configuration values specific to this client.
 tableFormatsClients:
-  HUDI:
-    sourceClientProviderClass: io.onetable.hudi.HudiSourceClientProvider
-  DELTA:
-    targetClientProviderClass: io.onetable.delta.DeltaClient
-    configuration:
-      spark.master: local[2]
-      spark.app.name: onetableclient
+    HUDI:
+      sourceClientProviderClass: io.onetable.hudi.HudiSourceClientProvider
+    DELTA:
+      targetClientProviderClass: io.onetable.delta.DeltaClient
+      configuration:
+        spark.master: local[2]
+        spark.app.name: onetableclient
 ```
-
 4. A catalog can be used when reading and updating Iceberg tables. The catalog 
can be specified in a yaml file and
    passed in with the `--icebergCatalogConfig` option. The format of the 
catalog config file is:
-
 ```yaml
 catalogImpl: io.my.CatalogImpl
 catalogName: name
@@ -104,7 +94,6 @@ catalogOptions: # all other options are passed through in a 
map
   key1: value1
   key2: value2
 ```
-
 5. run
    with `java -jar utilities/target/utilities-0.1.0-SNAPSHOT-bundled.jar 
--datasetConfig my_config.yaml [--hadoopConfig hdfs-site.xml] [--clientsConfig 
clients.yaml] [--icebergCatalogConfig catalog.yaml]`
    The bundled jar includes hadoop dependencies for AWS, Azure, and GCP. 
Authentication for AWS is done with
@@ -112,22 +101,17 @@ catalogOptions: # all other options are passed through in 
a map
    with the `--awsCredentialsProvider` option.
 
 # Contributing
-
 ## Setup
-
 For setting up the repo on IntelliJ, open the project and change the java 
version to Java11 in File->ProjectStructure
 ![img.png](style/IDE.png)
 
-You have found a bug, or have a cool idea you that want to contribute to the 
project ? Please file a GitHub
-issue [here](https://github.com/onetable-io/onetable/issues)
+You have found a bug, or have a cool idea you that want to contribute to the 
project ? Please file a GitHub issue 
[here](https://github.com/onetable-io/onetable/issues)
 
 ## Adding a new target format
-
 Adding a new target format requires a developer
 implement 
[TargetClient](./api/src/main/java/io/onetable/spi/sync/TargetClient.java). 
Once you have implemented that
 interface, you can integrate it into the 
[OneTableClient](./core/src/main/java/io/onetable/client/OneTableClient.java).
 If you think others may find that target useful, please raise a Pull Request 
to add it to the project.
 
 ## Overview of the sync process
-
 ![img.png](assets/images/sync_flow.jpg)
diff --git a/website/blog/OneTable-is-now-Apache-XTable.md 
b/website/blog/OneTable-is-now-Apache-XTable.md
index b7c768d3..2a42ad3c 100644
--- a/website/blog/OneTable-is-now-Apache-XTable.md
+++ b/website/blog/OneTable-is-now-Apache-XTable.md
@@ -1,6 +1,6 @@
 ---
 title: "OneTable is now “Apache XTable™ (Incubating)”"
-excerpt: "XTable is now Incubating in the Apache Software Foundation"
+excerpt: "Apache XTable™ (Incubating) is now Incubating in the Apache Software 
Foundation"
 author: Dipankar Mazumdar, JB Onofré
 category: blog
 image: /images/blog/XTable/xtable-cover.png
diff --git a/website/docs/athena.md b/website/docs/athena.md
index 7d2969d4..79b1992d 100644
--- a/website/docs/athena.md
+++ b/website/docs/athena.md
@@ -4,7 +4,7 @@ title: "Amazon Athena"
 ---
 
 # Querying from Amazon Athena
-To read a Apache XTable™ synced target table (regardless of the table format) 
in Amazon Athena,
+To read an Apache XTable™ synced target table (regardless of the table format) 
in Amazon Athena,
 you can create the table either by:
 * Using a DDL statement as mentioned in the following AWS docs:
     * 
[Example](https://docs.aws.amazon.com/athena/latest/ug/querying-hudi.html#querying-hudi-in-athena-creating-hudi-tables)
 for Hudi
diff --git a/website/docs/biglake-metastore.md 
b/website/docs/biglake-metastore.md
index f6a6b6ba..6f095682 100644
--- a/website/docs/biglake-metastore.md
+++ b/website/docs/biglake-metastore.md
@@ -7,7 +7,7 @@ import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
 # Syncing to BigLake Metastore
-This document walks through the steps to register a XTable synced Iceberg 
table in BigLake Metastore on GCP.
+This document walks through the steps to register an Apache XTable™ 
(Incubating) synced Iceberg table in BigLake Metastore on GCP.
 
 ## Pre-requisites
 1. Source (Hudi/Delta) table(s) already written to Google Cloud Storage.
@@ -19,21 +19,21 @@ This document walks through the steps to register a XTable 
synced Iceberg table
 3. To ensure that the Storage Account API's caller (your service account used 
by XTable) has the
    necessary permissions to write log/metadata files in GCS, ask your 
administrator to grant [Storage Object 
User](https://cloud.google.com/storage/docs/access-control/iam-roles) 
(roles/storage.objectUser)
    access to the service account.
-4. If you're running XTable outside GCP, you need to provide the machine 
access to interact with BigLake and GCS.
+4. If you're running Apache XTable™ (Incubating) outside GCP, you need to 
provide the machine access to interact with BigLake and GCS.
    To do so, store the permissions key for your service account in your 
machine using 
    ```shell
    export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service_account_key.json
    ```
-5. Clone the XTable [repository](https://github.com/apache/incubator-xtable) 
and create the
+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)
 6. Download the [BigLake Iceberg 
JAR](gs://spark-lib/biglake/biglake-catalog-iceberg1.2.0-0.1.0-with-dependencies.jar)
 locally.
-   XTable requires the JAR to be present in the classpath.
+   Apache XTable™ (Incubating) requires the JAR to be present in the classpath.
 
 ## Steps
 :::danger Important:
 Currently BigLake Metastore is only accessible through Google's 
 [BigLake Rest 
APIs](https://cloud.google.com/bigquery/docs/reference/biglake/rest), and as 
such
-XTable requires you to setup the below items prior to running sync on your 
source dataset.
+Apache XTable™ (Incubating) requires you to setup the below items prior to 
running sync on your source dataset.
    * BigLake Catalog
    * BigLake Database
 :::
@@ -114,7 +114,7 @@ catalogOptions:
   warehouse: gs://path/to/warehouse
 ```
 
-From your terminal under the cloned XTable directory, run the sync process 
using the below command.
+From your terminal under the cloned Apache XTable™ (Incubating) directory, run 
the sync process using the below command.
 
 ```shell md title="shell"
 java -cp 
utilities/target/utilities-0.1.0-SNAPSHOT-bundled.jar:/path/to/downloaded/biglake-catalog-iceberg1.2.0-0.1.0-with-dependencies.jar
 io.onetable.utilities.RunSync  --datasetConfig my_config.yaml 
--icebergCatalogConfig catalog.yaml
@@ -127,7 +127,7 @@ to interpret the data as an Iceberg table.
 :::
 
 ### Validating the results
-Once the sync succeeds, XTable would have written the table directly to 
BigLake Metastore.
+Once the sync succeeds, Apache XTable™ (Incubating) would have written the 
table directly to BigLake Metastore.
 We can use `Try this method` option on Google's REST reference docs for
 
[`projects.locations.catalogs.databases.tables.get`](https://cloud.google.com/bigquery/docs/reference/biglake/rest/v1/projects.locations.catalogs.databases.tables/get)
 method to view the created table.
diff --git a/website/docs/demo/docker.md b/website/docs/demo/docker.md
index 93f63e33..eaf4d17b 100644
--- a/website/docs/demo/docker.md
+++ b/website/docs/demo/docker.md
@@ -17,8 +17,8 @@ This demo was tested in both x86-64 and AArch64 based macOS 
operating systems
 :::
 
 ## Setting up Docker cluster
-After cloning the XTable repository, change directory to `demo` and run the 
`start_demo.sh` script.
-This script builds XTable jars required for the demo and then spins up docker 
containers to start a Jupyter notebook
+After cloning the Apache XTable™ (Incubating) repository, change directory to 
`demo` and run the `start_demo.sh` script.
+This script builds Apache XTable™ (Incubating) jars required for the demo and 
then spins up docker containers to start a Jupyter notebook
 with Scala interpreter, Hive Metastore, Presto and Trino.
 
 ```shell md title="shell"
diff --git a/website/docs/hms.md b/website/docs/hms.md
index 4d7b71f8..7efbb4d7 100644
--- a/website/docs/hms.md
+++ b/website/docs/hms.md
@@ -16,14 +16,14 @@ This document walks through the steps to register an Apache 
XTable™ (Incubatin
 2. A compute instance where you can run Apache Spark. This can be your local 
machine, docker,
    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 [repository](https://github.com/apache/incubator-xtable) 
and create the
+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) 
 4. This guide also assumes that you have configured the Hive Metastore locally 
or on EMR/Dataproc/HDInsight
    and is already running.
 
 ## Steps
 ### Running sync
-Create `my_config.yaml` in the cloned XTable directory.
+Create `my_config.yaml` in the cloned Apache XTable™ (Incubating) directory.
 
 <Tabs
 groupId="table-format"
@@ -86,7 +86,7 @@ datasets:
     * ADLS - 
`abfss://<container-name>@<storage-account-name>.dfs.core.windows.net/<path-to-data>`
 :::
 
-From your terminal under the cloned XTable directory, run the sync process 
using the below command.
+From your terminal under the cloned Apache XTable™ (Incubating) directory, run 
the sync process using the below command.
 ```shell md title="shell"
 java -jar utilities/target/utilities-0.1.0-SNAPSHOT-bundled.jar 
--datasetConfig my_config.yaml
 ```
@@ -97,7 +97,7 @@ directory with relevant metadata files that helps query 
engines to interpret the
 :::
 
 ### Register the target table in Hive Metastore 
-Now you need to register the XTable synced target table in Hive Metastore.  
+Now you need to register the Apache XTable™ (Incubating) synced target table 
in Hive Metastore.  
 
 <Tabs
 groupId="table-format"
@@ -137,7 +137,7 @@ if you have your source table in S3/GCS/ADLS i.e.
 
 
 Now you will be able to query the created table directly as a Hudi table from 
the same `spark` session or
-using query engines like `Presto` and/or `Trino`. Check out the guides for 
querying the XTable synced tables on
+using query engines like `Presto` and/or `Trino`. Check out the guides for 
querying the Apache XTable™ (Incubating) synced tables on
 [Presto](/docs/presto) or [Trino](/docs/trino) query engines for more 
information.
 
 ```sql md title="sql"
@@ -171,7 +171,7 @@ if you have your source table in S3/GCS/ADLS i.e.
 :::
 
 Now you will be able to query the created table directly as a Delta table from 
the same `spark` session or
-using query engines like `Presto` and/or `Trino`. Check out the guides for 
querying the XTable synced tables on
+using query engines like `Presto` and/or `Trino`. Check out the guides for 
querying the Apache XTable™ (Incubating) synced tables on
 [Presto](/docs/presto) or [Trino](/docs/trino) query engines for more 
information.
 
 ```sql md title="sql"
@@ -211,7 +211,7 @@ in S3/GCS/ADLS i.e.
 :::
 
 Now you will be able to query the created table directly as an Iceberg table 
from the same `spark` session or
-using query engines like `Presto` and/or `Trino`. Check out the guides for 
querying the XTable synced tables on
+using query engines like `Presto` and/or `Trino`. Check out the guides for 
querying the Apache XTable™ (Incubating) synced tables on
 [Presto](/docs/presto) or [Trino](/docs/trino) query engines for more 
information.
 
 ```sql md title="sql"
diff --git a/website/docs/how-to.md b/website/docs/how-to.md
index 22f3af7c..d9902139 100644
--- a/website/docs/how-to.md
+++ b/website/docs/how-to.md
@@ -33,7 +33,7 @@ history to enable proper point in time queries.
    * Google Cloud Storage by following the steps 
    [here](https://cloud.google.com/iam/docs/keys-create-delete#creating)
 
-For the purpose of this tutorial, we will walk through the steps to using 
XTable locally.
+For the purpose of this tutorial, we will walk through the steps to using 
Apache XTable™ (Incubating) locally.
 
 ## Steps
 
@@ -348,7 +348,7 @@ Authentication for GCP requires service account credentials 
to be exported. i.e.
 `export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service_account_key.json`
 :::
 
-In your terminal under the cloned XTable directory, run the below command.
+In your terminal under the cloned Apache XTable™ (Incubating) directory, run 
the below command.
 
 ```shell md title="shell"
 java -jar utilities/target/utilities-0.1.0-SNAPSHOT-bundled.jar 
--datasetConfig my_config.yaml
@@ -359,9 +359,9 @@ At this point, if you check your local path, you will be 
able to see the necessa
 commit history, partitions, and column stats that helps query engines to 
interpret the data in the target table format.
 
 ## Conclusion
-In this tutorial, we saw how to create a source table and use XTable to create 
the metadata files 
+In this tutorial, we saw how to create a source table and use Apache XTable™ 
(Incubating) to create the metadata files 
 that can be used to query the source table in different target table formats.
 
 ## Next steps
-Go through the [Catalog Integration guides](/docs/catalogs-index) to register 
the XTable synced tables
+Go through the [Catalog Integration guides](/docs/catalogs-index) to register 
the Apache XTable™ (Incubating) synced tables
 in different data catalogs.
diff --git a/website/docs/setup.md b/website/docs/setup.md
index 0b6d70fa..e414d44b 100644
--- a/website/docs/setup.md
+++ b/website/docs/setup.md
@@ -4,7 +4,7 @@ This page covers the essential steps to setup Apache XTable™ 
(incubating) in y
 
 ## Pre-requisites
 1. Building the project requires Java 11 and Maven to be setup and configured 
using PATH or environment variables. 
-2. Clone the XTable project GitHub 
[repository](https://github.com/apache/incubator-xtable) in your environment.
+2. Clone the Apache XTable™ (Incubating) project GitHub 
[repository](https://github.com/apache/incubator-xtable) in your environment.
 
 ## Steps
 #### Building the project 
@@ -22,5 +22,5 @@ mvn clean package -DskipTests
 For more information on the steps, follow the project's GitHub 
[README.md](https://github.com/apache/incubator-xtable/blob/main/README.md) 
 
 ## Next Steps
-See the [Quickstart](/docs/how-to) guide to learn to use XTable to add 
interoperability between
+See the [Quickstart](/docs/how-to) guide to learn to use Apache XTable™ 
(Incubating) to add interoperability between
 different table formats.
\ No newline at end of file
diff --git a/website/docs/spark.md b/website/docs/spark.md
index 78945fca..356a1c78 100644
--- a/website/docs/spark.md
+++ b/website/docs/spark.md
@@ -7,7 +7,7 @@ import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
 # Querying from Apache Spark
-To read a Apache XTable™ (Incubating) synced target table (regardless of the 
table format) in Apache Spark locally or on services like
+To read an Apache XTable™ (Incubating) synced target table (regardless of the 
table format) in Apache Spark locally or on services like
 Amazon EMR, Google Cloud's Dataproc, Azure HDInsight, or Databricks, you do 
not need additional jars or configs 
 other than what is needed by the respective table formats.
 
diff --git a/website/docs/starrocks.md b/website/docs/starrocks.md
index de7c9afd..c1bdad08 100644
--- a/website/docs/starrocks.md
+++ b/website/docs/starrocks.md
@@ -9,7 +9,7 @@ import TabItem from '@theme/TabItem';
 # Querying from StarRocks
 
 StarRocks allows you to query table formats like Hudi, Delta and Iceberg 
tables using our [external 
catalog](https://docs.starrocks.io/docs/data_source/catalog/catalog_overview/) 
feature.
-Users do not need additional configurations to work with XTable synced tables.
+Users do not need additional configurations to work with Apache XTable™ 
(Incubating) synced tables.
 
 For more information and required configurations refer to:
 * [Hudi 
Catalog](https://docs.starrocks.io/docs/data_source/catalog/hudi_catalog/)
@@ -17,7 +17,7 @@ For more information and required configurations refer to:
 * [Iceberg 
Catalog](https://docs.starrocks.io/docs/data_source/catalog/iceberg_catalog/)
 
 For hands on experimentation, please follow [Creating your first interoperable 
table](/docs/how-to#create-dataset)
-to create XTable synced tables followed by [Hive Metastore](/docs/hms) to 
register the target table
+to create Apache XTable™ (Incubating) synced tables followed by [Hive 
Metastore](/docs/hms) to register the target table
 in Hive Metastore. Once done, please follow the below high level steps:
 1. Start the StarRocks server 
 2. From the directory where you have installed mysql-cli: login by running 
`mysql -P 9030 -h 127.0.0.1 -u root --prompt="StarRocks > "`.
@@ -34,7 +34,7 @@ values={[
 <TabItem value="hudi">
 
 :::tip Note:
-If you are following the example from [Hive Metastore](/docs/hms), you can 
query the XTable synced Hudi table
+If you are following the example from [Hive Metastore](/docs/hms), you can 
query the Apache XTable™ (Incubating) synced Hudi table
 from StarRocks using the below query.
 ```sql md title="sql"
 CREATE EXTERNAL CATALOG unified_catalog_hms PROPERTIES ("type" = 
"unified","unified.metastore.type" = "hive", "hive.metastore.uris" = 
"thrift://hivemetastore:9083" );
@@ -46,7 +46,7 @@ SELECT * FROM unified_catalog_hms.hudi_db.<table_name>;
 <TabItem value="delta">
 
 :::tip Note:
-If you are following the example from [Hive Metastore](/docs/hms), you can 
query the XTable synced Delta table
+If you are following the example from [Hive Metastore](/docs/hms), you can 
query the Apache XTable™ (Incubating) synced Delta table
 from StarRocks using the below query.
 ```sql md title="sql"
 CREATE EXTERNAL CATALOG unified_catalog_hms PROPERTIES ("type" = 
"unified","unified.metastore.type" = "hive", "hive.metastore.uris" = 
"thrift://hivemetastore:9083" );
@@ -58,7 +58,7 @@ SELECT * FROM unified_catalog_hms.delta_db.<table_name>;
 <TabItem value="iceberg">
 
 :::tip Note:
-If you are following the example from [Hive Metastore](/docs/hms), you can 
query the XTable synced Iceberg table
+If you are following the example from [Hive Metastore](/docs/hms), you can 
query the Apache XTable™ (Incubating) synced Iceberg table
 from StarRocks using the below query.
 ```sql md title="sql"
 CREATE EXTERNAL CATALOG unified_catalog_hms PROPERTIES ("type" = 
"unified","unified.metastore.type" = "hive", "hive.metastore.uris" = 
"thrift://hivemetastore:9083" );
diff --git a/website/docs/unity-catalog.md b/website/docs/unity-catalog.md
index 977565de..d2de83d9 100644
--- a/website/docs/unity-catalog.md
+++ b/website/docs/unity-catalog.md
@@ -4,7 +4,7 @@ title: "Unity Catalog"
 ---
 
 # Syncing to Unity Catalog
-This document walks through the steps to register a XTable synced Delta table 
in Unity Catalog on Databricks.
+This document walks through the steps to register an Apache XTable™ 
(Incubating) synced Delta table in Unity Catalog on Databricks.
 
 ## Pre-requisites
 1. Source table(s) (Hudi/Iceberg) already written to external storage 
locations like S3/GCS/ADLS.
@@ -16,12 +16,12 @@ This document walks through the steps to register a XTable 
synced Delta table in
    * Follow the steps outlined 
[here](https://docs.databricks.com/en/storage/azure-storage.html) for Azure 
Data Lake Storage Gen2 and Blob Storage.
 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 XTable [repository](https://github.com/apache/incubator-xtable) 
and create the
+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)
 
 ## Steps
 ### Running sync
-Create `my_config.yaml` in the cloned XTable directory.
+Create `my_config.yaml` in the cloned Apache XTable™ (Incubating) directory.
 
 ```yaml md title="yaml"
 sourceFormat: HUDI|ICEBERG # choose only one
@@ -39,7 +39,7 @@ datasets:
 2. And replace with appropriate values for `sourceFormat`, and `tableName` 
fields. 
 :::
 
-From your terminal under the cloned XTable directory, run the sync process 
using the below command.
+From your terminal under the cloned Apache XTable™ (Incubating) directory, run 
the sync process using the below command.
 
 ```shell md title="shell"
 java -jar utilities/target/utilities-0.1.0-SNAPSHOT-bundled.jar 
--datasetConfig my_config.yaml
diff --git a/website/docusaurus.config.js b/website/docusaurus.config.js
index 0f93fa39..5426f033 100644
--- a/website/docusaurus.config.js
+++ b/website/docusaurus.config.js
@@ -45,9 +45,9 @@ const config = {
     /** @type {import('@docusaurus/preset-classic').ThemeConfig} */
     ({
       navbar: {
-        title: 'Apache XTable™',
+        title: 'Apache XTable™ (Incubating)',
         logo: {
-          alt: 'XTable Logo',
+          alt: 'Apache XTable™ (Incubating) Logo',
           href: 'pathname:///',
           target: '_self',
           src: 'images/xtable-icon.png',
diff --git a/website/static/images/apache-incubator.svg 
b/website/static/images/apache-incubator.svg
deleted file mode 100644
index e64ac239..00000000
--- a/website/static/images/apache-incubator.svg
+++ /dev/null
@@ -1,17 +0,0 @@
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-
-http://www.apache.org/licenses/LICENSE-2.0
-
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diff --git a/website/static/images/metadata1.svg 
b/website/static/images/metadata1.svg
deleted file mode 100644
index 8997c083..00000000
--- a/website/static/images/metadata1.svg
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-with the License.  You may obtain a copy of the License at
-
-http://www.apache.org/licenses/LICENSE-2.0
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diff --git a/website/static/images/xtable-words.png 
b/website/static/images/xtable-words.png
deleted file mode 100644
index fe600e0a..00000000
Binary files a/website/static/images/xtable-words.png and /dev/null differ
diff --git a/website/static/images/xtable-write-anywhere.png 
b/website/static/images/xtable-write-anywhere.png
index e4468071..e2aa301a 100644
Binary files a/website/static/images/xtable-write-anywhere.png and 
b/website/static/images/xtable-write-anywhere.png differ
diff --git a/website/static/images/xtable.png b/website/static/images/xtable.png
deleted file mode 100644
index afb6984a..00000000
Binary files a/website/static/images/xtable.png and /dev/null differ
diff --git a/website/static/index.html b/website/static/index.html
index b2407217..7f89c3af 100644
--- a/website/static/index.html
+++ b/website/static/index.html
@@ -203,16 +203,7 @@
             <div class="icon-2 accordion-icon">keyboard_arrow_down</div>
           </div>
           <div class="accordion-item-content">
-            <p class="faq-a">Follow Apache XTable™ community channels on 
Linkedin and Twitter. Become a watcher on Github or reachout directly to any of 
the Github contributors to learn more.</p>
-          </div>
-        </div>
-        <div class="accordion-item">
-          <div id="q1" class="accordion-item-trigger">
-            <h4 class="accordion-heading"><span><strong class="faq-q">What are 
the future plans for open source governance?</strong></span></h4>
-            <div class="icon-2 accordion-icon">keyboard_arrow_down</div>
-          </div>
-          <div class="accordion-item-content">
-            <p class="faq-a">Current contributors across Onehouse, Microsoft, 
Google, and others are helping to incubate Apache XTable™ into the Apache 
Software Foundation. Stay tuned for more updates.</p>
+            <p class="faq-a">Follow Apache XTable™ (Incubating) community 
channels on Linkedin and Twitter. Subscribe to the mailing list by sending an 
email to (dev-subscr...@xtable.apache.org). Follow the project on Github or 
reachout directly to any of the Github contributors to learn more.</p>
           </div>
         </div>
       </div>
@@ -230,7 +221,7 @@
     </div>
     <div class="footer__bottom text--center"><div class="footer__copyright" 
style="color: white;text-align: center;">
       <div style="margin-top: 20px">
-        <a href="https://incubator.apache.org/"; target="_blank"><img 
style="height:40px; margin-bottom: 10px; margin-top: 10px" alt="Apache Software 
Foundation" src="/images/apache-incubator.svg"></a>
+        <a href="https://incubator.apache.org/"; target="_blank"><img 
style="height:40px;margin-bottom: 10px;margin-top: 10px;background: white;" 
alt="Apache Software Foundation" 
src="https://www.apache.org/logos/res/incubator/incubator_highres.png";></a>
         <p style="text-align:left; font-weight: 300; font-size: 0.8em;">Apache 
XTable™ is an effort undergoing incubation at The Apache Software Foundation 
(ASF), sponsored by the Apache Incubator. Incubation is required of all newly 
accepted projects until a further review indicates that the infrastructure, 
communications, and decision making process have stabilized in a manner 
consistent with other successful ASF projects. While incubation status is not 
necessarily a reflection of the  [...]
         <p style="text-align:left; font-weight: 300; font-size: 
0.8em;">Copyright ©2024 Apache XTable™, XTable, Apache, the Apache feather logo 
and the Apache XTable™ project logo are either registered trademarks or 
trademarks of The Apache Software Foundation in the United States and other 
countries.</p>
       </div>

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