How To Call REST API & Store Data in Databricks

This article will go through the concepts of REST API and how to call it using Databricks. We will also learn to process JSON structures received from REST service and store data in Databricks (delta tables). <img alt="" src="https://miro.medium.com/v2/resize:fit:700/0*22VXu-LpwalTFiY2" style="height:449px; width:700px" /> Photo by <a href="https://unsplash.com/@flowforfrank?utm_source=medium&utm_medium=referral" rel="noopener ugc nofollow" target="_blank">Ferenc Almasi</a> on <a href="https://unsplash.com/?utm_source=medium&utm_medium=referral" rel="noopener ugc nofollow" target="_blank">Unsplash</a> <h2><a href="https://databricks.com/" rel="noopener ugc nofollow" target="_blank">Databricks</a></h2> Databricks is a popular cloud-based computing platform for data science and analytics. It simplifies the process of processing large volumes of data from files, streams, databases, and also REST services. Databricks is a powerful platform that enables you to process large volumes of data from various sources. One of the main reasons for its success is that it makes it easy to identify and identify large amounts of data stored in disparate formats, databases, and other storage systems. <a href="https://insightsndata.com/how-to-call-rest-api-store-data-in-databricks-8383f2458d7d">Learn More</a>