title: Am I creating a Bronze or a Silver table?
body: <p>From what I understand Bronze table in Delta Lake architecture represents the raw and (more or less) unmodified data in a table format. Does this mean that I also shouldn't partition the data for the Bronze table? You could see partitioning as something that depends on the use case, which points to Silver or even Gold table.</p>
  <p>Look at this example:</p>
  <pre class="lang-py prettyprint-override"><code>def read():
      return spark.read\
          .format(&quot;csv&quot;)\
          .option(&quot;delimiter&quot;, &quot;\t&quot;)\
          .option(&quot;header&quot;, True)\
          .load(&quot;file.tsv.gz&quot;)
  
  table_name = &quot;file&quot;
  location = f&quot;/mnt/storage/{table_name}&quot;
  
  read().write.partitionBy(&quot;something&quot;).format(&quot;delta&quot;).save(location)
  
  spark.sql(f&quot;CREATE TABLE {table_name} USING DELTA LOCATION '{location}/'&quot;)
  
  </code></pre>
  <p>Notice the <code>partitionBy(&quot;something&quot;)</code>. Does this belong in a Bronze table?</p>