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    <title>topic Passing values in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/passing-values/m-p/92984#M38601</link>
    <description>&lt;P&gt;Hello how I can pass a value of a parameter between two jobs that are not nested and have separated terraform and notebooks&lt;/P&gt;</description>
    <pubDate>Mon, 07 Oct 2024 16:42:19 GMT</pubDate>
    <dc:creator>AIDENEMAN</dc:creator>
    <dc:date>2024-10-07T16:42:19Z</dc:date>
    <item>
      <title>Passing values</title>
      <link>https://community.databricks.com/t5/data-engineering/passing-values/m-p/92984#M38601</link>
      <description>&lt;P&gt;Hello how I can pass a value of a parameter between two jobs that are not nested and have separated terraform and notebooks&lt;/P&gt;</description>
      <pubDate>Mon, 07 Oct 2024 16:42:19 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/passing-values/m-p/92984#M38601</guid>
      <dc:creator>AIDENEMAN</dc:creator>
      <dc:date>2024-10-07T16:42:19Z</dc:date>
    </item>
    <item>
      <title>Re: Passing values</title>
      <link>https://community.databricks.com/t5/data-engineering/passing-values/m-p/97435#M39482</link>
      <description>&lt;P&gt;Currently, there is no dedicated parameter store or variables section in Databricks for easily sharing values between jobs. One approach is to save the parameter in the Hive metastore or an S3 bucket, then retrieve it in each job. Alternatively, you could use Databricks Secrets to store and access the parameter securely. Using tables to store parameters is also an option.&lt;/P&gt;</description>
      <pubDate>Sun, 03 Nov 2024 22:05:07 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/passing-values/m-p/97435#M39482</guid>
      <dc:creator>Rafael-Sousa</dc:creator>
      <dc:date>2024-11-03T22:05:07Z</dc:date>
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