Building an End-to-End Data Pipeline with Databricks, Azure Blob Storage, and Azure Data Factory

<h1>Introduction</h1> <p>In today&rsquo;s era of data-driven decision-making, a well-architected data pipeline is pivotal for any business. It not only empowers businesses to process large volumes of data but also delivers actionable insights in a timely manner. In this article, we&rsquo;ll guide you through building a complete end-to-end data pipeline using Databricks, Azure Blob Storage, and Azure Data Factory, revolving around the API used in this previous article&nbsp;<a href="https://medium.com/towardsdev/building-an-end-to-end-data-pipeline-with-airflow-and-python-3bf60fb6986" rel="noopener">linked here</a>.</p> <h2><a href="https://towardsdev.com/building-an-end-to-end-data-pipeline-with-airflow-and-python-3bf60fb6986?source=post_page-----44a35b9fb2d7--------------------------------" rel="noopener ugc nofollow" target="_blank">Building an End-to-End Data Pipeline &mdash; Part 1 with Airflow and Python</a></h2> <h3><a href="https://towardsdev.com/building-an-end-to-end-data-pipeline-with-airflow-and-python-3bf60fb6986?source=post_page-----44a35b9fb2d7--------------------------------" rel="noopener ugc nofollow" target="_blank">Introduction</a></h3> <p><a href="https://towardsdev.com/building-an-end-to-end-data-pipeline-with-airflow-and-python-3bf60fb6986?source=post_page-----44a35b9fb2d7--------------------------------" rel="noopener ugc nofollow" target="_blank">towardsdev.com</a></p> <p><img alt="" src="https://miro.medium.com/v2/resize:fit:700/1*keXJjj1ZTCQBwAh5t9N0TA.jpeg" style="height:252px; width:700px" /></p> <h1>Prerequisites</h1> <p>To follow this tutorial, you will need:</p> <ul> <li>An Azure account.</li> <li>Basic knowledge of PySpark</li> <li>Databricks</li> </ul> <p><a href="https://towardsdev.com/building-an-end-to-end-data-pipeline-with-databricks-azure-blob-storage-and-azure-data-factory-44a35b9fb2d7"><strong>Website</strong></a></p>