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    <title>topic Hands-On Workshop: Simplify Data Integration for the Modern Data Stack  Do you have a lot of data that is stuck in your source systems? Data engineers... in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/hands-on-workshop-simplify-data-integration-for-the-modern-data/m-p/22397#M15332</link>
    <description>&lt;P&gt;&lt;A href="https://pages.databricks.com/202204-AMER-VE-Simplifydataintegrationforthemoderndatastack-HOW_01-Registration-LP.html?utm_source=community&amp;amp;utm_medium=web&amp;amp;utm_campaign=7013f000000Lm0tAAC&amp;amp;_ga=2.141041586.1254749174.1650303059-1825366797.1612985070&amp;amp;_gac=1.123799288.1650419061.CjwKCAjwu_mSBhAYEiwA5BBmf8-1gJVfJC-GsWBbXxR8P3yI-e2LEJD99hhTDPWPpVMaxPCRUb0oAhoC6RIQAvD_BwE" alt="https://pages.databricks.com/202204-AMER-VE-Simplifydataintegrationforthemoderndatastack-HOW_01-Registration-LP.html?utm_source=community&amp;amp;utm_medium=web&amp;amp;utm_campaign=7013f000000Lm0tAAC&amp;amp;_ga=2.141041586.1254749174.1650303059-1825366797.1612985070&amp;amp;_gac=1.123799288.1650419061.CjwKCAjwu_mSBhAYEiwA5BBmf8-1gJVfJC-GsWBbXxR8P3yI-e2LEJD99hhTDPWPpVMaxPCRUb0oAhoC6RIQAvD_BwE" target="_blank"&gt;&lt;B&gt;Hands-On Workshop: Simplify Data Integration for the Modern Data Stack&lt;/B&gt;&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="Image"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/1936i5D214D02A4F86255/image-size/large?v=v2&amp;amp;px=999" role="button" title="Image" alt="Image" /&gt;&lt;/span&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Do you have a lot of data that is stuck in your source systems? Data engineers too bottlenecked to build another ingest pipeline?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Join us for a &lt;A href="https://pages.databricks.com/202204-AMER-VE-Simplifydataintegrationforthemoderndatastack-HOW_01-Registration-LP.html?utm_source=community&amp;amp;utm_medium=web&amp;amp;utm_campaign=7013f000000Lm0tAAC&amp;amp;_ga=2.144662325.1254749174.1650303059-1825366797.1612985070&amp;amp;_gac=1.156520265.1650419061.CjwKCAjwu_mSBhAYEiwA5BBmf8-1gJVfJC-GsWBbXxR8P3yI-e2LEJD99hhTDPWPpVMaxPCRUb0oAhoC6RIQAvD_BwE" alt="https://pages.databricks.com/202204-AMER-VE-Simplifydataintegrationforthemoderndatastack-HOW_01-Registration-LP.html?utm_source=community&amp;amp;utm_medium=web&amp;amp;utm_campaign=7013f000000Lm0tAAC&amp;amp;_ga=2.144662325.1254749174.1650303059-1825366797.1612985070&amp;amp;_gac=1.156520265.1650419061.CjwKCAjwu_mSBhAYEiwA5BBmf8-1gJVfJC-GsWBbXxR8P3yI-e2LEJD99hhTDPWPpVMaxPCRUb0oAhoC6RIQAvD_BwE" target="_blank"&gt;live, hands-on workshop&lt;/A&gt; on building a data integration solution on the lakehouse. We will follow a super simple, step-by-step guide to building automated data pipelines with Databricks and Fivetran. This is your EASY button. Ingest away!&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;And... we have fun swag for everyone who shares their feedback on this thread. You will have one week after the event &lt;span class="lia-unicode-emoji" title=":grinning_face:"&gt;😀&lt;/span&gt; &lt;span class="lia-unicode-emoji" title=":raising_hands:"&gt;🙌&lt;/span&gt; &lt;/P&gt;</description>
    <pubDate>Thu, 21 Apr 2022 23:06:32 GMT</pubDate>
    <dc:creator>hiral_jasani</dc:creator>
    <dc:date>2022-04-21T23:06:32Z</dc:date>
    <item>
      <title>Hands-On Workshop: Simplify Data Integration for the Modern Data Stack  Do you have a lot of data that is stuck in your source systems? Data engineers...</title>
      <link>https://community.databricks.com/t5/data-engineering/hands-on-workshop-simplify-data-integration-for-the-modern-data/m-p/22397#M15332</link>
      <description>&lt;P&gt;&lt;A href="https://pages.databricks.com/202204-AMER-VE-Simplifydataintegrationforthemoderndatastack-HOW_01-Registration-LP.html?utm_source=community&amp;amp;utm_medium=web&amp;amp;utm_campaign=7013f000000Lm0tAAC&amp;amp;_ga=2.141041586.1254749174.1650303059-1825366797.1612985070&amp;amp;_gac=1.123799288.1650419061.CjwKCAjwu_mSBhAYEiwA5BBmf8-1gJVfJC-GsWBbXxR8P3yI-e2LEJD99hhTDPWPpVMaxPCRUb0oAhoC6RIQAvD_BwE" alt="https://pages.databricks.com/202204-AMER-VE-Simplifydataintegrationforthemoderndatastack-HOW_01-Registration-LP.html?utm_source=community&amp;amp;utm_medium=web&amp;amp;utm_campaign=7013f000000Lm0tAAC&amp;amp;_ga=2.141041586.1254749174.1650303059-1825366797.1612985070&amp;amp;_gac=1.123799288.1650419061.CjwKCAjwu_mSBhAYEiwA5BBmf8-1gJVfJC-GsWBbXxR8P3yI-e2LEJD99hhTDPWPpVMaxPCRUb0oAhoC6RIQAvD_BwE" target="_blank"&gt;&lt;B&gt;Hands-On Workshop: Simplify Data Integration for the Modern Data Stack&lt;/B&gt;&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="Image"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/1936i5D214D02A4F86255/image-size/large?v=v2&amp;amp;px=999" role="button" title="Image" alt="Image" /&gt;&lt;/span&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Do you have a lot of data that is stuck in your source systems? Data engineers too bottlenecked to build another ingest pipeline?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Join us for a &lt;A href="https://pages.databricks.com/202204-AMER-VE-Simplifydataintegrationforthemoderndatastack-HOW_01-Registration-LP.html?utm_source=community&amp;amp;utm_medium=web&amp;amp;utm_campaign=7013f000000Lm0tAAC&amp;amp;_ga=2.144662325.1254749174.1650303059-1825366797.1612985070&amp;amp;_gac=1.156520265.1650419061.CjwKCAjwu_mSBhAYEiwA5BBmf8-1gJVfJC-GsWBbXxR8P3yI-e2LEJD99hhTDPWPpVMaxPCRUb0oAhoC6RIQAvD_BwE" alt="https://pages.databricks.com/202204-AMER-VE-Simplifydataintegrationforthemoderndatastack-HOW_01-Registration-LP.html?utm_source=community&amp;amp;utm_medium=web&amp;amp;utm_campaign=7013f000000Lm0tAAC&amp;amp;_ga=2.144662325.1254749174.1650303059-1825366797.1612985070&amp;amp;_gac=1.156520265.1650419061.CjwKCAjwu_mSBhAYEiwA5BBmf8-1gJVfJC-GsWBbXxR8P3yI-e2LEJD99hhTDPWPpVMaxPCRUb0oAhoC6RIQAvD_BwE" target="_blank"&gt;live, hands-on workshop&lt;/A&gt; on building a data integration solution on the lakehouse. We will follow a super simple, step-by-step guide to building automated data pipelines with Databricks and Fivetran. This is your EASY button. Ingest away!&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;And... we have fun swag for everyone who shares their feedback on this thread. You will have one week after the event &lt;span class="lia-unicode-emoji" title=":grinning_face:"&gt;😀&lt;/span&gt; &lt;span class="lia-unicode-emoji" title=":raising_hands:"&gt;🙌&lt;/span&gt; &lt;/P&gt;</description>
      <pubDate>Thu, 21 Apr 2022 23:06:32 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/hands-on-workshop-simplify-data-integration-for-the-modern-data/m-p/22397#M15332</guid>
      <dc:creator>hiral_jasani</dc:creator>
      <dc:date>2022-04-21T23:06:32Z</dc:date>
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