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treeverser · treeverser · commit 218ceb91d9c0 · 2025-11-18T22:52:19.000Z
diff --git a/v1.72/_includes/gtag_frame.html b/v1.72/_includes/gtag_frame.html
@@ -1,4 +1,4 @@
 <!-- Google Tag Manager (noscript) -->
-<noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-KTZBZW9"
+<noscript><iframe data-uc-allowed="true" src="https://www.googletagmanager.com/ns.html?id=GTM-KTZBZW9"
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diff --git a/v1.72/datamanagment/metadata-search/index.html b/v1.72/datamanagment/metadata-search/index.html
@@ -5016,7 +5016,7 @@ <h2 id="overview">Overview<a class="headerlink" href="#overview" title="Permanen
 <p>To enable simple and scalable search, lakeFS exposes object metadata as versioned Iceberg tables, fully compatible with
 clients like DuckDB, PyIceberg, Spark, Trino, and others - enabling fast, expressive queries across any lakeFS version. 
 See <a href="#how-it-works">How It Works</a> for details. </p>
-<iframe width="560" height="315" src="https://www.youtube.com/embed/6JkQK51AaqY" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
+<iframe data-uc-allowed="true" width="560" height="315" src="https://www.youtube.com/embed/6JkQK51AaqY" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
 <p>```</p>
 <h2 id="benefits">Benefits<a class="headerlink" href="#benefits" title="Permanent link">&para;</a></h2>
 <ul>
diff --git a/v1.72/howto/hooks/index.html b/v1.72/howto/hooks/index.html
@@ -4820,7 +4820,7 @@ <h1 id="actions-and-hooks-in-lakefs">Actions and Hooks in lakeFS<a class="header
    Running a post-merge hook to trigger an Airflow DAG or to send a Webhook to an API, notifying it of the change that happened</li>
 </ol>
 <p>For step-by-step examples of hooks in action check out the <a href="../../quickstart/actions-and-hooks/">lakeFS Quickstart</a> and the <a href="https://github.com/treeverse/lakeFS-samples/">lakeFS samples repository</a>.</p>
-<iframe width="420" height="315" src="https://www.youtube.com/embed/Joare70FlIA"></iframe>
+<iframe data-uc-allowed="true" width="420" height="315" src="https://www.youtube.com/embed/Joare70FlIA"></iframe>
 
 <h2 id="overview">Overview<a class="headerlink" href="#overview" title="Permanent link">&para;</a></h2>
 <p>An <em>action</em> defines one or more <em>hooks</em> to execute. lakeFS supports three types of hook:</p>
diff --git a/v1.72/howto/import/index.html b/v1.72/howto/import/index.html
@@ -4734,7 +4734,7 @@
 If you are interested in copying data into lakeFS, see <a href="../copying/">Copying data to/from lakeFS</a>._</p>
 </div>
 <h1 id="importing-data-into-lakefs">Importing data into lakeFS<a class="headerlink" href="#importing-data-into-lakefs" title="Permanent link">&para;</a></h1>
-<iframe width="420" height="315" src="https://www.youtube.com/embed/R6K8tvtFCxQ"></iframe>
+<iframe data-uc-allowed="true" width="420" height="315" src="https://www.youtube.com/embed/R6K8tvtFCxQ"></iframe>
 
 <h2 id="prerequisites">Prerequisites<a class="headerlink" href="#prerequisites" title="Permanent link">&para;</a></h2>
 <ul>
diff --git a/v1.72/howto/local-checkouts/index.html b/v1.72/howto/local-checkouts/index.html
@@ -5011,7 +5011,7 @@ <h3 id="data-locality-for-optimized-gpu-utilization">Data Locality for Optimized
 GPU usage and prevent them from sitting idle. Many deep learning tasks involve accessing images, and in some cases, the
 same images are accessed multiple times. Localizing the data can eliminate redundant round trip times to access remote
 storage, resulting in cost savings.</p>
-<iframe width="420" height="315" src="https://www.youtube.com/embed/afgQnmesLZM"></iframe>
+<iframe data-uc-allowed="true" width="420" height="315" src="https://www.youtube.com/embed/afgQnmesLZM"></iframe>
 
 <h2 id="lakefs-mount-efficiently-expose-lakefs-data-as-a-local-directory"><strong>lakeFS Mount</strong>: Efficiently expose lakeFS Data as a local directory<a class="headerlink" href="#lakefs-mount-efficiently-expose-lakefs-data-as-a-local-directory" title="Permanent link">&para;</a></h2>
 <div class="admonition info">
diff --git a/v1.72/howto/mirroring/index.html b/v1.72/howto/mirroring/index.html
@@ -4959,7 +4959,7 @@ <h2 id="what-is-lakefs-transactional-mirroring">What is lakeFS Transactional Mir
 <p>Transactional Mirroring in lakeFS allows replicating a lakeFS repository ("source") into read-only copies ("mirror") in different locations.</p>
 <p>Unlike conventional mirroring, data isn't simply copied between regions - lakeFS Cloud tracks the state of each commit, advancing the commit log on the mirror only once a commit has been fully replicated and all data is available.</p>
 <p><a class="glightbox" href="../../assets/img/mirroring/arch.png" data-type="image" data-width="auto" data-height="auto" data-desc-position="bottom"><img alt="mirroring architecture" src="../../assets/img/mirroring/arch.png" /></a></p>
-<iframe width="420" height="315" src="https://www.youtube.com/embed/NhOWGVjQrrA"></iframe>
+<iframe data-uc-allowed="true" width="420" height="315" src="https://www.youtube.com/embed/NhOWGVjQrrA"></iframe>
 
 <h2 id="uses-cases">Uses cases<a class="headerlink" href="#uses-cases" title="Permanent link">&para;</a></h2>
 <h3 id="disaster-recovery">Disaster recovery<a class="headerlink" href="#disaster-recovery" title="Permanent link">&para;</a></h3>
diff --git a/v1.72/index.html b/v1.72/index.html
@@ -4833,7 +4833,7 @@ <h2>lakeFS brings software engineering best practices and applies them to data</
 <details class="note" open="open">
 <summary>📽️ lakeFS in under 2 minutes</summary>
 <p><div class="video-wrapper">
-    <iframe width="1280" height="720" src="https://www.youtube.com/embed/GTxsyeoLccw" frameborder="0" allowfullscreen></iframe>
+    <iframe data-uc-allowed="true" width="1280" height="720" src="https://www.youtube.com/embed/GTxsyeoLccw" frameborder="0" allowfullscreen></iframe>
 </div></p>
 </details>
 <h2 id="how-do-i-get-started">How Do I Get Started?<a class="headerlink" href="#how-do-i-get-started" title="Permanent link">&para;</a></h2>
diff --git a/v1.72/integrations/airflow/index.html b/v1.72/integrations/airflow/index.html
@@ -4760,7 +4760,7 @@
 
 <h1 id="using-lakefs-with-apache-airflow">Using lakeFS with Apache Airflow<a class="headerlink" href="#using-lakefs-with-apache-airflow" title="Permanent link">&para;</a></h1>
 <p><a href="https://airflow.apache.org/">Apache Airflow</a> is a platform that allows users to programmatically author, schedule, and monitor workflows.</p>
-<iframe width="420" height="315" src="https://www.youtube.com/embed/HuQQUvmVjhU"></iframe>
+<iframe data-uc-allowed="true" width="420" height="315" src="https://www.youtube.com/embed/HuQQUvmVjhU"></iframe>
 
 <p>To run Airflow with lakeFS, you need to follow a few steps.</p>
 <h2 id="create-a-lakefs-connection-on-airflow">Create a lakeFS connection on Airflow<a class="headerlink" href="#create-a-lakefs-connection-on-airflow" title="Permanent link">&para;</a></h2>
diff --git a/v1.72/integrations/delta/index.html b/v1.72/integrations/delta/index.html
@@ -4889,7 +4889,7 @@ <h2 id="exporting-delta-lake-tables-from-lakefs-into-unity-catalog">Exporting De
 </span></code></pre></div>
 <p>Here, <code>main</code> is the name of the lakeFS branch from which the delta table was exported.</p>
 <p>To enable Delta table exports to Unity catalog use the Unity <a href="../unity-catalog/">catalog integration guide</a>.</p>
-<iframe width="420" height="315" src="https://www.youtube.com/embed/rMDsnh7S2O0"></iframe>
+<iframe data-uc-allowed="true" width="420" height="315" src="https://www.youtube.com/embed/rMDsnh7S2O0"></iframe>
 
 <h2 id="limitations">Limitations<a class="headerlink" href="#limitations" title="Permanent link">&para;</a></h2>
 <h3>Multi-Writer Support in lakeFS for Delta Lake Tables</h3>
diff --git a/v1.72/quickstart/index.html b/v1.72/quickstart/index.html
@@ -4588,7 +4588,7 @@ <h1 id="lakefs-quickstart">lakeFS Quickstart<a class="headerlink" href="#lakefs-
 <p>This quickstart will introduce you to some of the core ideas in lakeFS and show what you can do by illustrating the concept of branching, merging, and rolling back changes to data. It's laid out in five short sections: </p>
 <p><a class="md-button" href="launch/">Start Here 👉</a></p>
 <hr />
-<iframe width="420" height="315" src="https://www.youtube.com/embed/R1r023CsTOw"></iframe>
+<iframe data-uc-allowed="true" width="420" height="315" src="https://www.youtube.com/embed/R1r023CsTOw"></iframe>
 
 
 
diff --git a/v1.72/quickstart/work-with-data-locally/index.html b/v1.72/quickstart/work-with-data-locally/index.html
@@ -4779,7 +4779,7 @@ <h2 id="lakefs-mount">lakeFS Mount<a class="headerlink" href="#lakefs-mount" tit
 <p class="admonition-title">Info</p>
 <p>lakeFS Mount is available for <a href="../../enterprise/">lakeFS Enterprise</a> and <a href="../../cloud/">lakeFS Cloud</a> customers. You can try it out by <a href="https://info.lakefs.io/thanks-lakefs-mounts">signing up</a></p>
 </div>
-<iframe width="420" height="315" src="https://www.youtube.com/embed/BgKuoa8LAaU"></iframe>
+<iframe data-uc-allowed="true" width="420" height="315" src="https://www.youtube.com/embed/BgKuoa8LAaU"></iframe>
 
 <h3 id="getting-started-with-lakefs-mount">Getting started with lakeFS Mount<a class="headerlink" href="#getting-started-with-lakefs-mount" title="Permanent link">&para;</a></h3>
 <p>Prerequisites:</p>
@@ -4818,7 +4818,7 @@ <h3 id="mounting-a-path-to-a-local-directory">Mounting a path to a local directo
 <h2 id="lakectl-local">lakectl local<a class="headerlink" href="#lakectl-local" title="Permanent link">&para;</a></h2>
 <p>Alternatively, we can use <a href="../../howto/local-checkouts/#sync-a-local-directory-with-lakefs">lakectl local</a> to bring a subset of our lakeFS data to a local directory within the lakeFS
 container and edit an image dataset used for ML model development. Unlike lakeFS Mount, using <code>lakectl local</code> requires copying data to/from lakeFS and your local machine.</p>
-<iframe width="420" height="315" src="https://www.youtube.com/embed/afgQnmesLZM"></iframe>
+<iframe data-uc-allowed="true" width="420" height="315" src="https://www.youtube.com/embed/afgQnmesLZM"></iframe>
 
 <p>Reference Guide: <a href="https://lakefs.io/blog/guide-lakectl-local-machine-learning/">lakeFS lakectl local for machine learning</a></p>
 <h3 id="cloning-a-subset-of-lakefs-data-into-a-local-directory">Cloning a Subset of lakeFS Data into a Local Directory<a class="headerlink" href="#cloning-a-subset-of-lakefs-data-into-a-local-directory" title="Permanent link">&para;</a></h3>
diff --git a/v1.72/reference/mount/index.html b/v1.72/reference/mount/index.html
@@ -5352,7 +5352,7 @@ <h1 id="mount-everest">Mount (Everest)<a class="headerlink" href="#mount-everest
 <p>Available in <strong>lakeFS Cloud</strong> and <strong>lakeFS Enterprise</strong></p>
 </div>
 <p>Everest is a complementary binary to lakeFS that allows you to virtually mount a remote lakeFS repository onto a local directory or within a Kubernetes environment. Once mounted, you can access data as if it resides on your local filesystem, using any tool, library, or framework.</p>
-<iframe width="560" height="315" src="https://www.youtube.com/embed/BgKuoa8LAaU" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
+<iframe data-uc-allowed="true" width="560" height="315" src="https://www.youtube.com/embed/BgKuoa8LAaU" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
 
 <h2 id="use-cases">Use Cases<a class="headerlink" href="#use-cases" title="Permanent link">&para;</a></h2>
 <ul>
diff --git a/v1.72/security/rbac/index.html b/v1.72/security/rbac/index.html
@@ -5095,7 +5095,7 @@ <h1 id="role-based-access-control-rbac">Role-Based Access Control (RBAC)<a class
 <p class="admonition-title">Info</p>
 <p>Available in <strong>lakeFS Cloud</strong> and <strong>lakeFS Enterprise</strong></p>
 </div>
-<iframe width="420" height="315" src="https://www.youtube.com/embed/Ekjv9FumIPg"></iframe>
+<iframe data-uc-allowed="true" width="420" height="315" src="https://www.youtube.com/embed/Ekjv9FumIPg"></iframe>
 
 <h2 id="rbac-model">RBAC Model<a class="headerlink" href="#rbac-model" title="Permanent link">&para;</a></h2>
 <p>Access to resources is managed very much like <a href="https://docs.aws.amazon.com/IAM/latest/UserGuide/intro-structure.html" target="_blank">AWS IAM</a>.</p>
diff --git a/v1.72/understand/use_cases/etl_testing/index.html b/v1.72/understand/use_cases/etl_testing/index.html
@@ -4896,7 +4896,7 @@ <h3 id="using-lakefs-playground-on-lakefs-cloud">Using lakeFS Playground on lake
 <h3 id="trying-out-lakefs-with-docker-and-jupyter-notebooks">Trying out lakeFS with Docker and Jupyter Notebooks<a class="headerlink" href="#trying-out-lakefs-with-docker-and-jupyter-notebooks" title="Permanent link">&para;</a></h3>
 <p>This use case shows how to create dev/test data environments for ETL testing using lakeFS branches. The following tutorial provides a lakeFS environment, a Jupyter notebook, and Python SDK API to demonstrate integration of lakeFS with <a href="../../../integrations/spark/">Spark</a>. You can run this tutorial on your local machine.</p>
 <p>Follow the tutorial video below to get started with the playground and Jupyter notebook, or follow the instructions on this page.</p>
-<iframe width="420" height="315" src="https://www.youtube.com/embed/fprpDZ96JQo"></iframe>
+<iframe data-uc-allowed="true" width="420" height="315" src="https://www.youtube.com/embed/fprpDZ96JQo"></iframe>
 
 <h4 id="prerequisites">Prerequisites<a class="headerlink" href="#prerequisites" title="Permanent link">&para;</a></h4>
 <p>Before getting started, you will need <a href="https://docs.docker.com/engine/install/">Docker</a> installed on your machine.</p>
