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    <title>topic Re: Apache 4.0 in Community Articles</title>
    <link>https://community.databricks.com/t5/community-articles/apache-4-0/m-p/125515#M476</link>
    <description>&lt;P&gt;If you wanna deep dive into the release, check this documentation:&amp;nbsp;&lt;A href="https://spark.apache.org/releases/spark-release-4-0-0.html" target="_blank"&gt;https://spark.apache.org/releases/spark-release-4-0-0.html&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;Best, Ilir&lt;/P&gt;</description>
    <pubDate>Wed, 16 Jul 2025 23:19:44 GMT</pubDate>
    <dc:creator>ilir_nuredini</dc:creator>
    <dc:date>2025-07-16T23:19:44Z</dc:date>
    <item>
      <title>Apache 4.0</title>
      <link>https://community.databricks.com/t5/community-articles/apache-4-0/m-p/125514#M475</link>
      <description>&lt;P&gt;Missed the Apache Spark 4.0 release? It is not just a version bump, it is a whole new level for big data processing.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Some of the highlights that really stood out to me:&lt;/P&gt;&lt;P&gt;1. SQL just got way more powerful: reusable UDFs, scripting, session variables, and the new PIPE syntax make it feel like you're working in a real programming language.&lt;/P&gt;&lt;P&gt;2. Python users: Native Plotly-based plotting on PySpark DataFrames is finally here, and writing custom data sources in pure Python is a groundbreaking.&lt;/P&gt;&lt;P&gt;3. Spark Connect is maturing fast: you can now&lt;BR /&gt;build apps in Go, Rust, Swift and plug them straight into Spark.&lt;/P&gt;&lt;P&gt;4. Structured Streaming just got way more flexible with transformWithState and full visibility into the state store.&lt;/P&gt;&lt;P&gt;Whether you're doing data engineering, analytics, or ML workflows, Spark 4.0 feels more modern, ensure stricter data integrity (hello ANSI mode), and developer-friendly.&lt;/P&gt;&lt;P&gt;P.S. Huge kudos to the 400+ contributors that made this release happen!!!&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="apache-4-0.jpg" style="width: 999px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/18248i5766835A216F3CED/image-size/large?v=v2&amp;amp;px=999" role="button" title="apache-4-0.jpg" alt="apache-4-0.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 16 Jul 2025 23:18:29 GMT</pubDate>
      <guid>https://community.databricks.com/t5/community-articles/apache-4-0/m-p/125514#M475</guid>
      <dc:creator>ilir_nuredini</dc:creator>
      <dc:date>2025-07-16T23:18:29Z</dc:date>
    </item>
    <item>
      <title>Re: Apache 4.0</title>
      <link>https://community.databricks.com/t5/community-articles/apache-4-0/m-p/125515#M476</link>
      <description>&lt;P&gt;If you wanna deep dive into the release, check this documentation:&amp;nbsp;&lt;A href="https://spark.apache.org/releases/spark-release-4-0-0.html" target="_blank"&gt;https://spark.apache.org/releases/spark-release-4-0-0.html&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;Best, Ilir&lt;/P&gt;</description>
      <pubDate>Wed, 16 Jul 2025 23:19:44 GMT</pubDate>
      <guid>https://community.databricks.com/t5/community-articles/apache-4-0/m-p/125515#M476</guid>
      <dc:creator>ilir_nuredini</dc:creator>
      <dc:date>2025-07-16T23:19:44Z</dc:date>
    </item>
    <item>
      <title>Re: Apache 4.0</title>
      <link>https://community.databricks.com/t5/community-articles/apache-4-0/m-p/125558#M477</link>
      <description>&lt;P&gt;Yeah, Spark 4.0 brings powerful enhancements while staying compatible with existing workloads.&lt;BR /&gt;Thank you for putting this together and highlighting the key updates, &lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/102399"&gt;@ilir_nuredini&lt;/a&gt;.&lt;/P&gt;</description>
      <pubDate>Thu, 17 Jul 2025 09:24:56 GMT</pubDate>
      <guid>https://community.databricks.com/t5/community-articles/apache-4-0/m-p/125558#M477</guid>
      <dc:creator>Advika</dc:creator>
      <dc:date>2025-07-17T09:24:56Z</dc:date>
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