Overcoming The Final Hurdle of Data Automation With Fewer Failures

<h1>The Development Practice You Take For Granted</h1> <p>I&rsquo;m the embodiment of the meme in which a developer spends hours automating a relatively simple task. In other words, while much of the world is increasingly apprehensive of replacing processes with AI, I&rsquo;m still pro-automation.</p> <p>And while I&rsquo;ve developed some pipelines outside of work to serve my own needs or to&nbsp;<a href="https://medium.com/pipeline-a-data-engineering-resource/how-you-can-use-python-to-pull-stock-data-for-3-000-companies-in-under-10-minutes-c47de056c07c" rel="noopener">help out a friend</a>, I still struggled with one very important aspect of each ETL build.</p> <p>If you&rsquo;re reading this, I imagine you might struggle with the same issue.</p> <p>Deployment.</p> <p><a href="https://medium.com/pipeline-a-data-engineering-resource/overcoming-the-final-hurdle-of-data-automation-with-fewer-failures-1ff060dd2b37"><strong>Read More</strong></a></p>