title: Registering a cloud data source as global table in Databricks without copying
body: <p>Given that I have a Delta table in Azure storage:</p>
  <pre><code>wasbs://mycontainer@myawesomestorage.blob.core.windows.net/mydata
  </code></pre>
  <p>This is available from my Databricks environment. I now wish to have this data available through the global tables, automatically loaded to all clusters and visible in the &quot;Data&quot; section.</p>
  <p>I could easily do this through copying:</p>
  <pre class="lang-py prettyprint-override"><code>spark.read\
    .load(&quot;wasbs://mycontainer@myawesomestorage.blob.core.windows.net/mydata&quot;)\
    .write.saveAsTable(&quot;my_new_table&quot;)
  </code></pre>
  <p>But this is expensive, and I would need to run it occasionally (structured streaming would help, however). <strong>But is it possible to register the source as a global table directly, without having to copy all files</strong>?</p>