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    <title>topic Best practices for writing efficient SQL queries in Databricks in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/best-practices-for-writing-efficient-sql-queries-in-databricks/m-p/105710#M42250</link>
    <description>&lt;P&gt;&lt;SPAN&gt;Are your SQL queries running slow or consuming excessive resources? As data grows in size and complexity, writing optimized SQL queries becomes more crucial than ever. Knowing the right techniques can make all the difference.&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;In my latest blog, I explore best practices for writing efficient SQL queries, including:&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Caching frequently accessed data&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Minimizing data scans with precise filtering&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Leveraging Liquid Clustering to handle skewed data dynamically&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Optimizing joins for reduced shuffle costs&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Efficient aggregation techniques to save memory&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;Each tip is paired with actionable SQL code examples, ensuring you can apply them directly to your projects. &lt;span class="lia-unicode-emoji" title=":light_bulb:"&gt;💡&lt;/span&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;Let’s make data processing faster, smarter, and more cost-effective! &lt;span class="lia-unicode-emoji" title=":rocket:"&gt;🚀&lt;/span&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;A href="https://medium.com/@avinash.narala6814/best-practices-for-writing-efficient-sql-queries-in-databricks-ea5c8d30d29b" target="_blank"&gt;https://medium.com/@avinash.narala6814/best-practices-for-writing-efficient-sql-queries-in-databricks-ea5c8d30d29b&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Wed, 15 Jan 2025 13:42:18 GMT</pubDate>
    <dc:creator>Avinash_Narala</dc:creator>
    <dc:date>2025-01-15T13:42:18Z</dc:date>
    <item>
      <title>Best practices for writing efficient SQL queries in Databricks</title>
      <link>https://community.databricks.com/t5/data-engineering/best-practices-for-writing-efficient-sql-queries-in-databricks/m-p/105710#M42250</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Are your SQL queries running slow or consuming excessive resources? As data grows in size and complexity, writing optimized SQL queries becomes more crucial than ever. Knowing the right techniques can make all the difference.&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;In my latest blog, I explore best practices for writing efficient SQL queries, including:&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Caching frequently accessed data&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Minimizing data scans with precise filtering&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Leveraging Liquid Clustering to handle skewed data dynamically&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Optimizing joins for reduced shuffle costs&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Efficient aggregation techniques to save memory&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;Each tip is paired with actionable SQL code examples, ensuring you can apply them directly to your projects. &lt;span class="lia-unicode-emoji" title=":light_bulb:"&gt;💡&lt;/span&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;Let’s make data processing faster, smarter, and more cost-effective! &lt;span class="lia-unicode-emoji" title=":rocket:"&gt;🚀&lt;/span&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;A href="https://medium.com/@avinash.narala6814/best-practices-for-writing-efficient-sql-queries-in-databricks-ea5c8d30d29b" target="_blank"&gt;https://medium.com/@avinash.narala6814/best-practices-for-writing-efficient-sql-queries-in-databricks-ea5c8d30d29b&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 15 Jan 2025 13:42:18 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/best-practices-for-writing-efficient-sql-queries-in-databricks/m-p/105710#M42250</guid>
      <dc:creator>Avinash_Narala</dc:creator>
      <dc:date>2025-01-15T13:42:18Z</dc:date>
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