CI/CD for Data — How to enhance data quality and increase data engineering velocity?
<h1>The Data Lifecycle</h1>
<p>Application development starts with Ideation and product requirement and ends with product release and monitoring. On the other hand, data life cycle is unique because it starts with data creation, transformation, deployment and all the way to data deletion (thanks to data privacy regulations that require organizations to delete personal data of users, if requested).</p>
<p><img alt="" src="https://miro.medium.com/v2/resize:fit:700/1*pOXQgYtUTFwmpvbawNuhOA.png" style="height:393px; width:700px" /></p>
<p>Source: <a href="https://lakefs.io/blog/what-is-data-lifecycle-management/" rel="noopener ugc nofollow" target="_blank">lakefs.io</a></p>
<p>Creating and promoting data products is riddled with challenges at every step of data lifecycle. If you are a data practitioner, you probably know what it feels like to push an update to production even after running sufficient tests.</p>
<p>How can we effectively promote data products between each phase of its lifecyle?</p>
<p><a href="https://blog.det.life/ci-cd-for-data-how-to-enhance-data-quality-and-increase-data-engineering-velocity-4b1123a770cc"><strong>Learn More</strong></a></p>