Data Pipelines in a Nutshell
<p>Consider the journey of clean water from its source to your tap!</p>
<p>In much the same way, data within organizations follows a complex path, starting from various sources and databases and requiring processing before it becomes valuable for decision-making.</p>
<p>This intricate journey is facilitated by data pipelines, which are instrumental in managing, cleaning, and distributing data within an organization.</p>
<p><img alt="" src="https://miro.medium.com/v2/resize:fit:700/0*sPZuyq0ZkvupYFhg" style="height:412px; width:700px" /></p>
<p>Photo by <a href="https://unsplash.com/@rgreen?utm_source=medium&utm_medium=referral" rel="noopener ugc nofollow" target="_blank">Rose Galloway Green</a> on <a href="https://unsplash.com/?utm_source=medium&utm_medium=referral" rel="noopener ugc nofollow" target="_blank">Unsplash</a></p>
<p>Just as water originates in lakes, oceans, and rivers, data begins in data lakes, databases, and through real-time streaming.</p>
<p>However, both raw water and raw data are unfit for direct consumption or use. Raw data, much like water, is often messy, contaminated, and must be refined before it can serve its purpose in informing business decisions.</p>
<p><a href="https://python.plainenglish.io/data-pipelines-in-a-nutshell-f603c7f696fb"><strong>Click Here</strong></a></p>