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    <title>PyPI recent updates for zzingestions</title>
    <link>https://pypi.org/project/zzingestions/</link>
    <description>Recent updates to the Python Package Index for zzingestions</description>
    <language>en</language>    <item>
      <title>1.3.3.2</title>
      <link>https://pypi.org/project/zzingestions/1.3.3.2/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 01 Oct 2025 18:59:18 GMT</pubDate>
    </item>    <item>
      <title>1.3.3.1</title>
      <link>https://pypi.org/project/zzingestions/1.3.3.1/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 01 Oct 2025 18:56:33 GMT</pubDate>
    </item>    <item>
      <title>1.3.3.0</title>
      <link>https://pypi.org/project/zzingestions/1.3.3.0/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Tue, 23 Sep 2025 14:05:21 GMT</pubDate>
    </item>    <item>
      <title>1.3.2.6</title>
      <link>https://pypi.org/project/zzingestions/1.3.2.6/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 20 Aug 2025 20:39:21 GMT</pubDate>
    </item>    <item>
      <title>1.3.2.5</title>
      <link>https://pypi.org/project/zzingestions/1.3.2.5/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 20 Aug 2025 18:18:30 GMT</pubDate>
    </item>    <item>
      <title>1.3.2.4</title>
      <link>https://pypi.org/project/zzingestions/1.3.2.4/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 20 Aug 2025 17:39:16 GMT</pubDate>
    </item>    <item>
      <title>1.3.2.3</title>
      <link>https://pypi.org/project/zzingestions/1.3.2.3/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 20 Aug 2025 16:07:25 GMT</pubDate>
    </item>    <item>
      <title>1.3.2.2</title>
      <link>https://pypi.org/project/zzingestions/1.3.2.2/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 20 Aug 2025 14:50:27 GMT</pubDate>
    </item>    <item>
      <title>1.3.2.1</title>
      <link>https://pypi.org/project/zzingestions/1.3.2.1/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 20 Aug 2025 14:26:44 GMT</pubDate>
    </item>    <item>
      <title>1.3.1.10</title>
      <link>https://pypi.org/project/zzingestions/1.3.1.10/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 14 May 2025 17:55:42 GMT</pubDate>
    </item>    <item>
      <title>1.3.1.9</title>
      <link>https://pypi.org/project/zzingestions/1.3.1.9/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 07 May 2025 14:04:26 GMT</pubDate>
    </item>    <item>
      <title>1.3.1.8</title>
      <link>https://pypi.org/project/zzingestions/1.3.1.8/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 07 May 2025 13:50:49 GMT</pubDate>
    </item>    <item>
      <title>1.3.1.7</title>
      <link>https://pypi.org/project/zzingestions/1.3.1.7/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 07 May 2025 12:57:52 GMT</pubDate>
    </item>    <item>
      <title>1.3.1.6</title>
      <link>https://pypi.org/project/zzingestions/1.3.1.6/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Tue, 06 May 2025 17:25:59 GMT</pubDate>
    </item>    <item>
      <title>1.3.1.5</title>
      <link>https://pypi.org/project/zzingestions/1.3.1.5/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Tue, 06 May 2025 17:16:52 GMT</pubDate>
    </item>    <item>
      <title>1.3.1.4</title>
      <link>https://pypi.org/project/zzingestions/1.3.1.4/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Mon, 28 Apr 2025 19:27:02 GMT</pubDate>
    </item>    <item>
      <title>1.3.1.3</title>
      <link>https://pypi.org/project/zzingestions/1.3.1.3/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Thu, 17 Apr 2025 14:00:56 GMT</pubDate>
    </item>    <item>
      <title>1.3.1.2</title>
      <link>https://pypi.org/project/zzingestions/1.3.1.2/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 19 Feb 2025 13:33:19 GMT</pubDate>
    </item>    <item>
      <title>1.3.1.1</title>
      <link>https://pypi.org/project/zzingestions/1.3.1.1/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 19 Feb 2025 12:58:05 GMT</pubDate>
    </item>    <item>
      <title>1.3.1</title>
      <link>https://pypi.org/project/zzingestions/1.3.1/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 19 Feb 2025 12:55:48 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.16</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.16/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 04 Dec 2024 21:37:48 GMT</pubDate>
    </item>    <item>
      <title>1.3.0</title>
      <link>https://pypi.org/project/zzingestions/1.3.0/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 04 Dec 2024 21:02:22 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.15</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.15/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Thu, 21 Nov 2024 17:27:19 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.14</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.14/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Thu, 21 Nov 2024 14:22:19 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.13</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.13/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Thu, 21 Nov 2024 14:18:11 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.12</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.12/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Thu, 21 Nov 2024 13:58:47 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.11</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.11/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Mon, 18 Nov 2024 14:45:17 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.10</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.10/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Mon, 18 Nov 2024 14:38:14 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.9</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.9/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Mon, 18 Nov 2024 14:32:40 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.8</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.8/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Mon, 18 Nov 2024 14:26:11 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.7</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.7/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Mon, 18 Nov 2024 14:19:06 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.6</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.6/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 23 Oct 2024 22:29:10 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.5</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.5/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 23 Oct 2024 22:05:04 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.4</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.4/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 23 Oct 2024 21:40:57 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.3</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.3/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 23 Oct 2024 21:26:03 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.2</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.2/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 23 Oct 2024 21:17:09 GMT</pubDate>
    </item>    <item>
      <title>1.2.7.1</title>
      <link>https://pypi.org/project/zzingestions/1.2.7.1/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 23 Oct 2024 21:06:43 GMT</pubDate>
    </item>    <item>
      <title>1.2.7</title>
      <link>https://pypi.org/project/zzingestions/1.2.7/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Wed, 23 Oct 2024 20:02:01 GMT</pubDate>
    </item>    <item>
      <title>1.2.6.4</title>
      <link>https://pypi.org/project/zzingestions/1.2.6.4/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Tue, 22 Oct 2024 13:36:51 GMT</pubDate>
    </item>    <item>
      <title>1.2.6.3</title>
      <link>https://pypi.org/project/zzingestions/1.2.6.3/</link>
      <description>ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.</description>
<author>zzdata@arezzo.com.br</author>      <pubDate>Mon, 21 Oct 2024 19:32:21 GMT</pubDate>
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