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    <title>article Replicating and Transforming Semi-structured Data with Replicate and Compose in Official Support Articles</title>
    <link>https://community.qlik.com/t5/Official-Support-Articles/Replicating-and-Transforming-Semi-structured-Data-with-Replicate/ta-p/1737881</link>
    <description>&lt;P&gt;This whitepaper discusses how to convert and consume semi-structured data with the Qlik Data Integration solution.&lt;/P&gt;
&lt;P&gt;Today, most on-line transactional processing systems (OLTP) store data in a tabular format of tables and columns. In most cases, data is stored in&amp;nbsp;SQL databases such as Microsoft SQL Server, PostgreSQL, Oracle,Snowflake and others, that support a variety of data types such as&amp;nbsp;character, datetime, numeric, varchar, and more.&amp;nbsp; Additionally, support for new data types such as Character Large Object (CLOB), Geography&amp;nbsp;(GEO), JavaScript Object Notation (JSON) and Extensible Markup Language (XML) were added as databases evolved.&lt;/P&gt;
&lt;P&gt;This whitepaper shows how to replicate and transform semi-structured data with Qlik Replicate and Qlik Compose for Data Warehouses.&amp;nbsp; The examples covered in this article are based on the semi-structured data format called JavaScript Object Notation (JSON).&lt;/P&gt;</description>
    <pubDate>Tue, 01 Feb 2022 14:08:20 GMT</pubDate>
    <dc:creator>benperezg</dc:creator>
    <dc:date>2022-02-01T14:08:20Z</dc:date>
    <item>
      <title>Replicating and Transforming Semi-structured Data with Replicate and Compose</title>
      <link>https://community.qlik.com/t5/Official-Support-Articles/Replicating-and-Transforming-Semi-structured-Data-with-Replicate/ta-p/1737881</link>
      <description>&lt;P&gt;This whitepaper discusses how to convert and consume semi-structured data with the Qlik Data Integration solution.&lt;/P&gt;
&lt;P&gt;Today, most on-line transactional processing systems (OLTP) store data in a tabular format of tables and columns. In most cases, data is stored in&amp;nbsp;SQL databases such as Microsoft SQL Server, PostgreSQL, Oracle,Snowflake and others, that support a variety of data types such as&amp;nbsp;character, datetime, numeric, varchar, and more.&amp;nbsp; Additionally, support for new data types such as Character Large Object (CLOB), Geography&amp;nbsp;(GEO), JavaScript Object Notation (JSON) and Extensible Markup Language (XML) were added as databases evolved.&lt;/P&gt;
&lt;P&gt;This whitepaper shows how to replicate and transform semi-structured data with Qlik Replicate and Qlik Compose for Data Warehouses.&amp;nbsp; The examples covered in this article are based on the semi-structured data format called JavaScript Object Notation (JSON).&lt;/P&gt;</description>
      <pubDate>Tue, 01 Feb 2022 14:08:20 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Official-Support-Articles/Replicating-and-Transforming-Semi-structured-Data-with-Replicate/ta-p/1737881</guid>
      <dc:creator>benperezg</dc:creator>
      <dc:date>2022-02-01T14:08:20Z</dc:date>
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