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    <title>Zio on Ayoub Fakir</title>
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      <title>[EN] Migrating from a plain Spark Application to ZparkIO</title>
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      <pubDate>Fri, 16 Oct 2020 10:36:00 +0200</pubDate>
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      <description>&lt;h1 id=&#34;migrating-from-a-plain-spark-application-to-zio-with-zparkio&#34;&gt;Migrating from a plain Spark Application to ZIO with ZparkIO&lt;/h1&gt;
&lt;p&gt;In this article, we&amp;rsquo;ll see how you can migrate your Spark Application into &lt;a href=&#34;https://zio.dev&#34;&gt;ZIO&lt;/a&gt; and &lt;a href=&#34;https://github.com/leobenkel/ZparkIO&#34;&gt;ZparkIO&lt;/a&gt;, so you can benefit from all the wonderful features that ZIO offers and that we&amp;rsquo;ll be discussing.&lt;/p&gt;
&lt;h2 id=&#34;what-is-zio&#34;&gt;What is ZIO?&lt;/h2&gt;
&lt;p&gt;ZIO is defined, according to official documentation as &lt;strong&gt;a library for asynchronous and concurrent programming that is based on pure functional programming.&lt;/strong&gt; In other words, ZIO helps us write code with type-safe, composable and easily testable code, all by using safe and side-effect-free code.
&lt;strong&gt;ZIO is a data type&lt;/strong&gt;. Its signature, &lt;em&gt;ZIO[R, E, A]&lt;/em&gt; shows us that it has three parameters:&lt;/p&gt;</description>
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      <title>Why combine asynchronous and distributed calculations to tackle the biggest data quality challenges</title>
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      <pubDate>Fri, 17 Mar 2017 05:47:36 +0200</pubDate>
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      <description>&lt;p&gt;Article co-authored by Martin Delobel and available on &lt;a href=&#34;https://medium.com/decathlondigital/why-combine-asynchronous-and-distributed-calculations-to-tackle-the-biggest-data-quality-challenges-2e04dfc51401&#34;&gt;Medium&lt;/a&gt;.&lt;/p&gt;</description>
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