diff --git a/.github/workflows/codeql.yml b/.github/workflows/codeql.yml
index 49212916a3..98685f3ced 100644
--- a/.github/workflows/codeql.yml
+++ b/.github/workflows/codeql.yml
@@ -46,11 +46,11 @@ jobs:
         persist-credentials: false
 
     - name: Initialize CodeQL
-      uses: github/codeql-action/init@95e58e9a2cdfd71adc6e0353d5c52f41a045d225 # v4.35.2
+      uses: github/codeql-action/init@e46ed2cbd01164d986452f91f178727624ae40d7 # v4.35.3
       with:
         languages: actions
 
     - name: Perform CodeQL Analysis
-      uses: github/codeql-action/analyze@95e58e9a2cdfd71adc6e0353d5c52f41a045d225 # v4.35.2
+      uses: github/codeql-action/analyze@e46ed2cbd01164d986452f91f178727624ae40d7 # v4.35.3
       with:
         category: "/language:actions"
diff --git a/Makefile b/Makefile
index d262de45a9..4fe761192c 100644
--- a/Makefile
+++ b/Makefile
@@ -16,7 +16,7 @@
 # under the License.
 .PHONY: help install install-uv check-license lint \
         test test-integration test-integration-setup test-integration-exec test-integration-cleanup test-integration-rebuild \
-        test-s3 test-adls test-gcs test-coverage coverage-report \
+        test-s3 test-adls test-gcs test-coverage coverage-report test test-notebook\
         docs-serve docs-build notebook notebook-infra \
         clean
 
@@ -150,6 +150,9 @@ coverage-report: ## Combine and report coverage
 	uv run $(PYTHON_ARG) coverage html
 	uv run $(PYTHON_ARG) coverage xml
 
+test-notebook: ## Run notebook tests (pyiceberg_example and spark_integration_example) via papermill
+	$(TEST_RUNNER) pytest tests/notebooks/test_pyiceberg_example.py tests/notebooks/test_spark_integration_example.py -m notebook $(PYTEST_ARGS)
+
 # ================
 # Documentation
 # ================
diff --git a/dev/docker-compose-integration.yml b/dev/docker-compose-integration.yml
index 387e54ac2c..27c1b9a5f7 100644
--- a/dev/docker-compose-integration.yml
+++ b/dev/docker-compose-integration.yml
@@ -18,7 +18,10 @@
 services:
   spark-iceberg:
     image: pyiceberg-spark:latest
-    build: spark/
+    build:
+      context: spark/
+      args:
+        ICEBERG_MAVEN_MIRROR: https://repository.apache.org/content/repositories/orgapacheiceberg-1282
     container_name: pyiceberg-spark
     networks:
       iceberg_net:
diff --git a/dev/spark/Dockerfile b/dev/spark/Dockerfile
index 0e1f29d152..4a052f7dfa 100644
--- a/dev/spark/Dockerfile
+++ b/dev/spark/Dockerfile
@@ -19,11 +19,12 @@ FROM apache/spark:${BASE_IMAGE_SPARK_VERSION}
 
 # Dependency versions - keep these compatible
 # Changing these will invalidate the JAR download cache layer
-ARG ICEBERG_VERSION=1.10.1
+ARG ICEBERG_VERSION=1.11.0
 ARG ICEBERG_SPARK_RUNTIME_VERSION=4.0_2.13
 ARG HADOOP_VERSION=3.4.1
 ARG AWS_SDK_VERSION=2.24.6
 ARG MAVEN_MIRROR=https://repo.maven.apache.org/maven2
+ARG ICEBERG_MAVEN_MIRROR=${MAVEN_MIRROR}
 
 USER root
 WORKDIR ${SPARK_HOME}
@@ -38,11 +39,20 @@ RUN apt-get update -qq && \
 
 # Download JARs with retry logic (most cacheable - only changes when versions change)
 # This is the slowest step, so we do it before copying config files
+# Iceberg JARs use ICEBERG_MAVEN_MIRROR (defaults to MAVEN_MIRROR, can be overridden for staging repos)
 RUN set -e && \
     cd "${SPARK_HOME}/jars" && \
     for jar_path in \
         "org/apache/iceberg/iceberg-spark-runtime-${ICEBERG_SPARK_RUNTIME_VERSION}/${ICEBERG_VERSION}/iceberg-spark-runtime-${ICEBERG_SPARK_RUNTIME_VERSION}-${ICEBERG_VERSION}.jar" \
-        "org/apache/iceberg/iceberg-aws-bundle/${ICEBERG_VERSION}/iceberg-aws-bundle-${ICEBERG_VERSION}.jar" \
+        "org/apache/iceberg/iceberg-aws-bundle/${ICEBERG_VERSION}/iceberg-aws-bundle-${ICEBERG_VERSION}.jar"; \
+    do \
+        jar_name=$(basename "${jar_path}") && \
+        curl -fsSL --retry 3 --retry-delay 5 \
+             -o "${jar_name}" \
+             "${ICEBERG_MAVEN_MIRROR}/${jar_path}" && \
+        chown spark:spark "${jar_name}"; \
+    done && \
+    for jar_path in \
         "org/apache/hadoop/hadoop-aws/${HADOOP_VERSION}/hadoop-aws-${HADOOP_VERSION}.jar" \
         "software/amazon/awssdk/bundle/${AWS_SDK_VERSION}/bundle-${AWS_SDK_VERSION}.jar"; \
     do \
diff --git a/mkdocs/docs/api.md b/mkdocs/docs/api.md
index 22d6b2e3c7..29d09e2604 100644
--- a/mkdocs/docs/api.md
+++ b/mkdocs/docs/api.md
@@ -1529,6 +1529,17 @@ catalog = load_catalog("default")
 catalog.view_exists("default.bar")
 ```
 
+## Register a view
+
+To register a view using existing metadata:
+
+```python
+catalog.register_view(
+    identifier="docs_example.bids",
+    metadata_location="s3://warehouse/path/to/metadata.json"
+)
+```
+
 ## Table Statistics Management
 
 Manage table statistics with operations through the `Table` API:
diff --git a/pyiceberg/catalog/__init__.py b/pyiceberg/catalog/__init__.py
index 5db35ac3bd..ef3e51aea8 100644
--- a/pyiceberg/catalog/__init__.py
+++ b/pyiceberg/catalog/__init__.py
@@ -690,6 +690,22 @@ def update_namespace_properties(
             ValueError: If removals and updates have overlapping keys.
         """
 
+    @abstractmethod
+    def register_view(self, identifier: str | Identifier, metadata_location: str) -> View:
+        """Register a new view using existing metadata.
+
+        Args:
+            identifier (Union[str, Identifier]): View identifier for the view
+            metadata_location (str): The location to the metadata
+
+        Returns:
+            View: The newly registered view
+
+        Raises:
+            ViewAlreadyExistsError: If the view already exists.
+            TableAlreadyExistsError: If a table with the same name already exists.
+        """
+
     @abstractmethod
     def drop_view(self, identifier: str | Identifier) -> None:
         """Drop a view.
diff --git a/pyiceberg/catalog/bigquery_metastore.py b/pyiceberg/catalog/bigquery_metastore.py
index 1b8a172e25..d389e2e1df 100644
--- a/pyiceberg/catalog/bigquery_metastore.py
+++ b/pyiceberg/catalog/bigquery_metastore.py
@@ -305,6 +305,9 @@ def register_table(self, identifier: str | Identifier, metadata_location: str, o
     def list_views(self, namespace: str | Identifier) -> list[Identifier]:
         raise NotImplementedError
 
+    def register_view(self, identifier: str | Identifier, metadata_location: str) -> View:
+        raise NotImplementedError
+
     def drop_view(self, identifier: str | Identifier) -> None:
         raise NotImplementedError
 
diff --git a/pyiceberg/catalog/dynamodb.py b/pyiceberg/catalog/dynamodb.py
index aa66f08bcf..2aaf11c8a5 100644
--- a/pyiceberg/catalog/dynamodb.py
+++ b/pyiceberg/catalog/dynamodb.py
@@ -553,6 +553,9 @@ def create_view(
     def list_views(self, namespace: str | Identifier) -> list[Identifier]:
         raise NotImplementedError
 
+    def register_view(self, identifier: str | Identifier, metadata_location: str) -> View:
+        raise NotImplementedError
+
     def drop_view(self, identifier: str | Identifier) -> None:
         raise NotImplementedError
 
diff --git a/pyiceberg/catalog/glue.py b/pyiceberg/catalog/glue.py
index a21fe6da3c..92d0aa4554 100644
--- a/pyiceberg/catalog/glue.py
+++ b/pyiceberg/catalog/glue.py
@@ -970,6 +970,9 @@ def create_view(
     def list_views(self, namespace: str | Identifier) -> list[Identifier]:
         raise NotImplementedError
 
+    def register_view(self, identifier: str | Identifier, metadata_location: str) -> View:
+        raise NotImplementedError
+
     def drop_view(self, identifier: str | Identifier) -> None:
         raise NotImplementedError
 
diff --git a/pyiceberg/catalog/hive.py b/pyiceberg/catalog/hive.py
index afca5954b1..8d2a743084 100644
--- a/pyiceberg/catalog/hive.py
+++ b/pyiceberg/catalog/hive.py
@@ -854,6 +854,9 @@ def update_namespace_properties(
 
         return PropertiesUpdateSummary(removed=list(removed or []), updated=list(updated or []), missing=list(expected_to_change))
 
+    def register_view(self, identifier: str | Identifier, metadata_location: str) -> View:
+        raise NotImplementedError
+
     def drop_view(self, identifier: str | Identifier) -> None:
         raise NotImplementedError
 
diff --git a/pyiceberg/catalog/noop.py b/pyiceberg/catalog/noop.py
index 1524343610..3a1a8e7c47 100644
--- a/pyiceberg/catalog/noop.py
+++ b/pyiceberg/catalog/noop.py
@@ -132,6 +132,9 @@ def view_exists(self, identifier: str | Identifier) -> bool:
     def namespace_exists(self, namespace: str | Identifier) -> bool:
         raise NotImplementedError
 
+    def register_view(self, identifier: str | Identifier, metadata_location: str) -> View:
+        raise NotImplementedError
+
     def drop_view(self, identifier: str | Identifier) -> None:
         raise NotImplementedError
 
diff --git a/pyiceberg/catalog/rest/__init__.py b/pyiceberg/catalog/rest/__init__.py
index b3a80e11aa..8c5647e7de 100644
--- a/pyiceberg/catalog/rest/__init__.py
+++ b/pyiceberg/catalog/rest/__init__.py
@@ -154,6 +154,7 @@ class Endpoints:
     list_views: str = "namespaces/{namespace}/views"
     load_view: str = "namespaces/{namespace}/views/{view}"
     create_view: str = "namespaces/{namespace}/views"
+    register_view: str = "namespaces/{namespace}/register-view"
     drop_view: str = "namespaces/{namespace}/views/{view}"
     view_exists: str = "namespaces/{namespace}/views/{view}"
     plan_table_scan: str = "namespaces/{namespace}/tables/{table}/plan"
@@ -183,6 +184,7 @@ class Capability:
     V1_LIST_VIEWS = Endpoint(http_method=HttpMethod.GET, path=f"{API_PREFIX}/{Endpoints.list_views}")
     V1_LOAD_VIEW = Endpoint(http_method=HttpMethod.GET, path=f"{API_PREFIX}/{Endpoints.load_view}")
     V1_VIEW_EXISTS = Endpoint(http_method=HttpMethod.HEAD, path=f"{API_PREFIX}/{Endpoints.view_exists}")
+    V1_REGISTER_VIEW = Endpoint(http_method=HttpMethod.POST, path=f"{API_PREFIX}/{Endpoints.register_view}")
     V1_DELETE_VIEW = Endpoint(http_method=HttpMethod.DELETE, path=f"{API_PREFIX}/{Endpoints.drop_view}")
     V1_SUBMIT_TABLE_SCAN_PLAN = Endpoint(http_method=HttpMethod.POST, path=f"{API_PREFIX}/{Endpoints.plan_table_scan}")
     V1_TABLE_SCAN_PLAN_TASKS = Endpoint(http_method=HttpMethod.POST, path=f"{API_PREFIX}/{Endpoints.fetch_scan_tasks}")
@@ -322,6 +324,11 @@ class RegisterTableRequest(IcebergBaseModel):
     overwrite: bool
 
 
+class RegisterViewRequest(IcebergBaseModel):
+    name: str
+    metadata_location: str = Field(..., alias="metadata-location")
+
+
 class ConfigResponse(IcebergBaseModel):
     defaults: Properties | None = Field(default_factory=dict)
     overrides: Properties | None = Field(default_factory=dict)
@@ -1332,6 +1339,29 @@ def view_exists(self, identifier: str | Identifier) -> bool:
 
         return False
 
+    @retry(**_RETRY_ARGS)
+    def register_view(self, identifier: str | Identifier, metadata_location: str) -> View:
+        self._check_endpoint(Capability.V1_REGISTER_VIEW)
+        namespace_and_view = self._split_identifier_for_path(identifier, IdentifierKind.VIEW)
+        namespace = namespace_and_view["namespace"]
+        view = namespace_and_view["view"]
+        if self.table_exists(identifier):
+            raise TableAlreadyExistsError(f"Table {namespace}.{view} already exists")
+
+        request = RegisterViewRequest(name=view, metadata_location=metadata_location)
+        serialized_json = request.model_dump_json().encode(UTF8)
+        response = self._session.post(
+            self.url(Endpoints.register_view, namespace=namespace),
+            data=serialized_json,
+        )
+        try:
+            response.raise_for_status()
+        except HTTPError as exc:
+            _handle_non_200_response(exc, {409: ViewAlreadyExistsError})
+
+        view_response = ViewResponse.model_validate_json(response.text)
+        return self._response_to_view(self.identifier_to_tuple(identifier), view_response)
+
     @retry(**_RETRY_ARGS)
     def drop_view(self, identifier: str) -> None:
         self._check_endpoint(Capability.V1_DELETE_VIEW)
diff --git a/pyiceberg/catalog/sql.py b/pyiceberg/catalog/sql.py
index dc703e95a4..92ac53751f 100644
--- a/pyiceberg/catalog/sql.py
+++ b/pyiceberg/catalog/sql.py
@@ -745,6 +745,9 @@ def list_views(self, namespace: str | Identifier) -> list[Identifier]:
     def view_exists(self, identifier: str | Identifier) -> bool:
         raise NotImplementedError
 
+    def register_view(self, identifier: str | Identifier, metadata_location: str) -> View:
+        raise NotImplementedError
+
     def drop_view(self, identifier: str | Identifier) -> None:
         raise NotImplementedError
 
diff --git a/pyiceberg/table/inspect.py b/pyiceberg/table/inspect.py
index 5da343ccb6..ac8e627d7b 100644
--- a/pyiceberg/table/inspect.py
+++ b/pyiceberg/table/inspect.py
@@ -404,6 +404,7 @@ def _get_all_manifests_schema(self) -> pa.Schema:
 
         all_manifests_schema = self._get_manifests_schema()
         all_manifests_schema = all_manifests_schema.append(pa.field("reference_snapshot_id", pa.int64(), nullable=False))
+        all_manifests_schema = all_manifests_schema.append(pa.field("key_metadata", pa.binary(), nullable=True))
         return all_manifests_schema
 
     def _generate_manifests_table(self, snapshot: Snapshot | None, is_all_manifests_table: bool = False) -> pa.Table:
@@ -468,6 +469,7 @@ def _partition_summaries_to_rows(
                 }
                 if is_all_manifests_table:
                     manifest_row["reference_snapshot_id"] = snapshot.snapshot_id
+                    manifest_row["key_metadata"] = manifest.key_metadata
                 manifests.append(manifest_row)
 
         return pa.Table.from_pylist(
diff --git a/pyproject.toml b/pyproject.toml
index ac1177db44..96118f8451 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -122,6 +122,9 @@ dev = [
     "google-cloud-bigquery>=3.33.0,<4",
     "pyarrow-stubs>=20.0.0.20251107", # Remove when pyarrow >= 23.0.0 https://github.com/apache/arrow/pull/47609
     "sqlalchemy>=2.0.18,<3",
+    "papermill>=2.6.0",
+    "nbformat>=5.10.0",
+    "ipykernel>=6.29.0",
 ]
 # for mkdocs
 docs = [
@@ -161,6 +164,7 @@ markers = [
   "integration: marks integration tests against Apache Spark",
   "gcs: marks a test as requiring access to gcs compliant storage (use with --gs.token, --gs.project, and --gs.endpoint)",
   "benchmark: collection of tests to validate read/write performance before and after a change",
+  "notebook: marks tests that execute Jupyter notebooks via papermill",
 ]
 
 # Turns a warning into an error
diff --git a/tests/catalog/test_rest.py b/tests/catalog/test_rest.py
index bd77f8ad78..edbe67d974 100644
--- a/tests/catalog/test_rest.py
+++ b/tests/catalog/test_rest.py
@@ -105,6 +105,7 @@
     Capability.V1_LIST_VIEWS,
     Capability.V1_LOAD_VIEW,
     Capability.V1_VIEW_EXISTS,
+    Capability.V1_REGISTER_VIEW,
     Capability.V1_DELETE_VIEW,
     Capability.V1_SUBMIT_TABLE_SCAN_PLAN,
     Capability.V1_TABLE_SCAN_PLAN_TASKS,
@@ -2182,6 +2183,72 @@ def test_table_identifier_in_commit_table_request(
     )
 
 
+def test_register_view_200(rest_mock: Mocker, example_view_metadata_rest_json: dict[str, Any]) -> None:
+    rest_mock.head(
+        f"{TEST_URI}v1/namespaces/default/tables/registered_view",
+        status_code=404,
+        request_headers=TEST_HEADERS,
+    )
+    rest_mock.post(
+        f"{TEST_URI}v1/namespaces/default/register-view",
+        json=example_view_metadata_rest_json,
+        status_code=200,
+        request_headers=TEST_HEADERS,
+    )
+
+    catalog = RestCatalog("rest", uri=TEST_URI, token=TEST_TOKEN)
+    actual = catalog.register_view(
+        identifier=("default", "registered_view"), metadata_location="s3://warehouse/database/view/metadata.json"
+    )
+    expected = View(
+        identifier=("default", "registered_view"),
+        metadata=ViewMetadata(**example_view_metadata_rest_json["metadata"]),
+    )
+    assert actual == expected
+
+
+def test_register_view_409_view(rest_mock: Mocker) -> None:
+    rest_mock.head(
+        f"{TEST_URI}v1/namespaces/default/tables/registered_view",
+        status_code=404,
+        request_headers=TEST_HEADERS,
+    )
+    rest_mock.post(
+        f"{TEST_URI}v1/namespaces/default/register-view",
+        json={
+            "error": {
+                "message": "View already exists: default.view in warehouse 8bcb0838-50fc-472d-9ddb-8feb89ef5f1e",
+                "type": "AlreadyExistsException",
+                "code": 409,
+            }
+        },
+        status_code=409,
+        request_headers=TEST_HEADERS,
+    )
+
+    catalog = RestCatalog("rest", uri=TEST_URI, token=TEST_TOKEN)
+    with pytest.raises(ViewAlreadyExistsError) as e:
+        catalog.register_view(
+            identifier=("default", "registered_view"), metadata_location="s3://warehouse/database/view/metadata.json"
+        )
+    assert "View already exists" in str(e.value)
+
+
+def test_register_view_409_table(rest_mock: Mocker) -> None:
+    rest_mock.head(
+        f"{TEST_URI}v1/namespaces/default/tables/registered_view",
+        status_code=200,
+        request_headers=TEST_HEADERS,
+    )
+
+    catalog = RestCatalog("rest", uri=TEST_URI, token=TEST_TOKEN)
+    with pytest.raises(TableAlreadyExistsError) as e:
+        catalog.register_view(
+            identifier=("default", "registered_view"), metadata_location="s3://warehouse/database/view/metadata.json"
+        )
+    assert "Table default.registered_view already exists" in str(e.value)
+
+
 def test_drop_view_invalid_namespace(rest_mock: Mocker) -> None:
     view = "view"
     with pytest.raises(NoSuchIdentifierError) as e:
diff --git a/tests/integration/test_inspect_table.py b/tests/integration/test_inspect_table.py
index 03d4437d18..4d8dfbe9bb 100644
--- a/tests/integration/test_inspect_table.py
+++ b/tests/integration/test_inspect_table.py
@@ -1012,6 +1012,7 @@ def test_inspect_all_manifests(spark: SparkSession, session_catalog: Catalog, fo
         "deleted_delete_files_count",
         "partition_summaries",
         "reference_snapshot_id",
+        "key_metadata",
     ]
 
     int_cols = [
diff --git a/tests/integration/test_writes/test_writes.py b/tests/integration/test_writes/test_writes.py
index 0a09867656..b6fc7067f6 100644
--- a/tests/integration/test_writes/test_writes.py
+++ b/tests/integration/test_writes/test_writes.py
@@ -2027,7 +2027,7 @@ def test_write_optional_list(session_catalog: Catalog) -> None:
             required=False,
         ),
     )
-    session_catalog.create_table_if_not_exists(identifier, schema)
+    _create_table(session_catalog, identifier, schema=schema)
 
     df_1 = pa.Table.from_pylist(
         [
diff --git a/tests/notebooks/test_pyiceberg_example.py b/tests/notebooks/test_pyiceberg_example.py
new file mode 100644
index 0000000000..eea5b49963
--- /dev/null
+++ b/tests/notebooks/test_pyiceberg_example.py
@@ -0,0 +1,101 @@
+#  Licensed to the Apache Software Foundation (ASF) under one
+#  or more contributor license agreements.  See the NOTICE file
+#  distributed with this work for additional information
+#  regarding copyright ownership.  The ASF licenses this file
+#  to you under the Apache License, Version 2.0 (the
+#  "License"); you may not use this file except in compliance
+#  with the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing,
+#  software distributed under the License is distributed on an
+#  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+#  KIND, either express or implied.  See the License for the
+#  specific language governing permissions and limitations
+#  under the License.
+
+from pathlib import Path
+
+import nbformat
+import papermill as pm
+import pytest
+
+pytestmark = pytest.mark.notebook
+
+NOTEBOOK_PATH = Path(__file__).parents[2] / "notebooks" / "pyiceberg_example.ipynb"
+
+
+def get_all_stdout(nb: nbformat.NotebookNode) -> str:
+    """Concatenate all stdout streams from every executed cell."""
+    return "".join(
+        out.get("text", "")
+        for cell in nb.cells
+        for out in cell.get("outputs", [])
+        if out.get("output_type") == "stream" and out.get("name") == "stdout"
+    )
+
+
+@pytest.fixture(scope="session")
+def pyiceberg_nb(tmp_path_factory: pytest.TempPathFactory) -> nbformat.NotebookNode:
+    out = tmp_path_factory.mktemp("nb_out") / "pyiceberg_example_out.ipynb"
+    return pm.execute_notebook(str(NOTEBOOK_PATH), str(out), kernel_name="python3")
+
+
+class TestSmoke:
+    def test_notebook_completes_without_error(self, pyiceberg_nb: nbformat.NotebookNode) -> None:
+        """papermill raises PapermillExecutionError if any cell fails."""
+        assert pyiceberg_nb is not None
+
+    def test_all_code_cells_executed(self, pyiceberg_nb: nbformat.NotebookNode) -> None:
+        for cell in pyiceberg_nb.cells:
+            if cell.cell_type == "code":
+                assert cell.get("execution_count") is not None, f"Cell not executed:\n{cell.source[:80]}"
+
+
+class TestCellOutputs:
+    def test_pyiceberg_version_printed(self, pyiceberg_nb: nbformat.NotebookNode) -> None:
+        assert "PyIceberg version:" in get_all_stdout(pyiceberg_nb)
+
+    def test_warehouse_location_printed(self, pyiceberg_nb: nbformat.NotebookNode) -> None:
+        stdout = get_all_stdout(pyiceberg_nb)
+        assert "Warehouse location:" in stdout
+        assert "iceberg_warehouse_" in stdout
+
+    def test_catalog_loaded_successfully(self, pyiceberg_nb: nbformat.NotebookNode) -> None:
+        assert "Catalog loaded successfully!" in get_all_stdout(pyiceberg_nb)
+
+    def test_namespace_default_created(self, pyiceberg_nb: nbformat.NotebookNode) -> None:
+        assert "default" in get_all_stdout(pyiceberg_nb)
+
+    def test_rows_written_is_five(self, pyiceberg_nb: nbformat.NotebookNode) -> None:
+        assert "Rows written: 5" in get_all_stdout(pyiceberg_nb)
+
+    def test_schema_evolved_message(self, pyiceberg_nb: nbformat.NotebookNode) -> None:
+        assert "Schema evolved!" in get_all_stdout(pyiceberg_nb)
+
+    def test_tip_per_mile_column_present_after_evolution(self, pyiceberg_nb: nbformat.NotebookNode) -> None:
+        assert "tip_per_mile" in get_all_stdout(pyiceberg_nb)
+
+    def test_filter_result_is_positive(self, pyiceberg_nb: nbformat.NotebookNode) -> None:
+        """The notebook prints 'Rows with tip_per_mile > 1.0: N' — N must be > 0."""
+        stdout = get_all_stdout(pyiceberg_nb)
+        assert "Rows with tip_per_mile > 1.0:" in stdout
+        for line in stdout.splitlines():
+            if "Rows with tip_per_mile > 1.0:" in line:
+                count = int(line.split(":")[-1].strip())
+                assert count > 0
+                break
+
+    def test_snapshot_id_printed(self, pyiceberg_nb: nbformat.NotebookNode) -> None:
+        assert "Current snapshot ID:" in get_all_stdout(pyiceberg_nb)
+
+    def test_table_history_has_entries(self, pyiceberg_nb: nbformat.NotebookNode) -> None:
+        stdout = get_all_stdout(pyiceberg_nb)
+        assert "Table history:" in stdout
+        assert "Snapshot:" in stdout
+
+    def test_warehouse_contains_parquet_and_metadata_files(self, pyiceberg_nb: nbformat.NotebookNode) -> None:
+        stdout = get_all_stdout(pyiceberg_nb)
+        assert ".parquet" in stdout
+        assert ".metadata.json" in stdout
diff --git a/tests/notebooks/test_spark_integration_example.py b/tests/notebooks/test_spark_integration_example.py
new file mode 100644
index 0000000000..e242e43157
--- /dev/null
+++ b/tests/notebooks/test_spark_integration_example.py
@@ -0,0 +1,170 @@
+#  Licensed to the Apache Software Foundation (ASF) under one
+#  or more contributor license agreements.  See the NOTICE file
+#  distributed with this work for additional information
+#  regarding copyright ownership.  The ASF licenses this file
+#  to you under the Apache License, Version 2.0 (the
+#  "License"); you may not use this file except in compliance
+#  with the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing,
+#  software distributed under the License is distributed on an
+#  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+#  KIND, either express or implied.  See the License for the
+#  specific language governing permissions and limitations
+#  under the License.
+
+import textwrap
+from pathlib import Path
+
+import nbformat
+import papermill as pm
+import pytest
+
+pytestmark = pytest.mark.notebook
+
+NOTEBOOK_PATH = Path(__file__).parents[2] / "notebooks" / "spark_integration_example.ipynb"
+
+# ---------------------------------------------------------------------------
+# Mock pyspark
+# Replaces pyspark.sql.SparkSession with a fake one
+# ---------------------------------------------------------------------------
+_MOCK_PYSPARK = textwrap.dedent("""\
+    import sys
+    import types
+    from unittest.mock import MagicMock
+
+    def _make_fake_pyspark():
+        pyspark_mod = types.ModuleType("pyspark")
+        sql_mod     = types.ModuleType("pyspark.sql")
+        pyspark_mod.sql = sql_mod
+        sys.modules.setdefault("pyspark",     pyspark_mod)
+        sys.modules.setdefault("pyspark.sql", sql_mod)
+        return pyspark_mod, sql_mod
+
+    _pyspark, _sql = _make_fake_pyspark()
+
+    _SHOW_CATALOGS = (
+        "+-------------+\\n"
+        "|catalogName  |\\n"
+        "+-------------+\\n"
+        "|spark_catalog|\\n"
+        "|local        |\\n"
+        "+-------------+\\n"
+    )
+    _SHOW_NAMESPACES = (
+        "+---------+\\n"
+        "|namespace|\\n"
+        "+---------+\\n"
+        "|default  |\\n"
+        "+---------+\\n"
+    )
+    _SHOW_TABLES = (
+        "+---------+-----------+-----------+\\n"
+        "|namespace|tableName  |isTemporary|\\n"
+        "+---------+-----------+-----------+\\n"
+        "|default  |test_all   |false      |\\n"
+        "+---------+-----------+-----------+\\n"
+    )
+    _DESCRIBE_TABLE = (
+        "+--------------------+---------+-------+\\n"
+        "|col_name            |data_type|comment|\\n"
+        "+--------------------+---------+-------+\\n"
+        "|boolean_col         |boolean  |null   |\\n"
+        "|integer_col         |integer  |null   |\\n"
+        "+--------------------+---------+-------+\\n"
+    )
+    _SQL_RESPONSES = {
+        "SHOW CATALOGS":                        _SHOW_CATALOGS,
+        "SHOW NAMESPACES":                       _SHOW_NAMESPACES,
+        "SHOW TABLES FROM default":              _SHOW_TABLES,
+        "DESCRIBE TABLE default.test_all_types": _DESCRIBE_TABLE,
+    }
+
+    def _make_df(output):
+        df = MagicMock()
+        df.show.side_effect = lambda *a, **kw: print(output, end="")
+        return df
+
+    class _FakeBuilder:
+        def remote(self, url): return self
+        def getOrCreate(self): return _FakeSession()
+
+    class _FakeSession:
+        builder = _FakeBuilder()
+        def sql(self, query):
+            key = query.strip().rstrip(";")
+            output = _SQL_RESPONSES.get(key, "+------+\\n| col  |\\n+------+\\n| val  |\\n+------+\\n")
+            return _make_df(output)
+
+    _FakeSparkSession = MagicMock(spec=object)
+    _FakeSparkSession.builder = _FakeBuilder()
+    _sql.SparkSession = _FakeSparkSession
+""")
+
+
+def get_all_stdout(nb: nbformat.NotebookNode) -> str:
+    """Concatenate all stdout streams from every executed cell."""
+    return "".join(
+        out.get("text", "")
+        for cell in nb.cells
+        for out in cell.get("outputs", [])
+        if out.get("output_type") == "stream" and out.get("name") == "stdout"
+    )
+
+
+def _inject_mock_and_execute(notebook_path: Path, output_path: Path) -> nbformat.NotebookNode:
+    """
+    Load the real notebook, prepend the mock-pyspark setup cell, write to a
+    temporary copy and execute it with papermill.
+    """
+    nb = nbformat.read(str(notebook_path), as_version=4)
+
+    mock_cell = nbformat.v4.new_code_cell(_MOCK_PYSPARK)
+    mock_cell.metadata["tags"] = ["injected-mock"]
+    nb.cells.insert(0, mock_cell)
+
+    patched_path = output_path.parent / "spark_patched.ipynb"
+    nbformat.write(nb, str(patched_path))
+
+    return pm.execute_notebook(str(patched_path), str(output_path), kernel_name="python3")
+
+
+@pytest.fixture(scope="session")
+def spark_nb(tmp_path_factory: pytest.TempPathFactory) -> nbformat.NotebookNode:
+    out = tmp_path_factory.mktemp("nb_out") / "spark_integration_example_out.ipynb"
+    return _inject_mock_and_execute(NOTEBOOK_PATH, out)
+
+
+class TestSmoke:
+    def test_notebook_completes_without_error(self, spark_nb: nbformat.NotebookNode) -> None:
+        assert spark_nb is not None
+
+    def test_all_code_cells_executed(self, spark_nb: nbformat.NotebookNode) -> None:
+        for cell in spark_nb.cells:
+            if cell.cell_type == "code":
+                assert cell.get("execution_count") is not None, f"Cell not executed:\n{cell.source[:80]}"
+
+
+class TestCellOutputs:
+    def test_show_catalogs_lists_spark_catalog_and_local(self, spark_nb: nbformat.NotebookNode) -> None:
+        stdout = get_all_stdout(spark_nb)
+        assert "spark_catalog" in stdout
+        assert "local" in stdout
+
+    def test_show_namespaces_contains_default(self, spark_nb: nbformat.NotebookNode) -> None:
+        assert "default" in get_all_stdout(spark_nb)
+
+    def test_show_tables_produces_tabular_output(self, spark_nb: nbformat.NotebookNode) -> None:
+        assert "+---------+-----------+-----------+" in get_all_stdout(spark_nb)
+
+    def test_describe_table_lists_column_names(self, spark_nb: nbformat.NotebookNode) -> None:
+        assert "col_name" in get_all_stdout(spark_nb)
+
+    def test_describe_table_lists_data_types(self, spark_nb: nbformat.NotebookNode) -> None:
+        stdout = get_all_stdout(spark_nb)
+        assert "boolean" in stdout or "integer" in stdout
+
+    def test_show_tables_includes_test_table_row(self, spark_nb: nbformat.NotebookNode) -> None:
+        assert "test_all" in get_all_stdout(spark_nb)
diff --git a/uv.lock b/uv.lock
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+
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 [[package]]
@@ -4681,9 +4710,12 @@ dev = [
     { name = "docutils" },
     { name = "fastavro" },
     { name = "google-cloud-bigquery" },
+    { name = "ipykernel" },
     { name = "moto", extra = ["server"] },
     { name = "mypy-boto3-dynamodb" },
     { name = "mypy-boto3-glue" },
+    { name = "nbformat" },
+    { name = "papermill" },
     { name = "prek" },
     { name = "protobuf" },
     { name = "pyarrow-stubs" },
@@ -4771,9 +4803,12 @@ dev = [
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     { name = "google-cloud-bigquery", specifier = ">=3.33.0,<4" },
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     { name = "mypy-boto3-dynamodb", specifier = ">=1.28.18" },
     { name = "mypy-boto3-glue", specifier = ">=1.28.18" },
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