Conceptualizing the Processing Model for Azure Databricks Service
Course Overview Course Overview Welcome to course, Conceptualizing the Processing Model for Azure Databricks Service. Modern data pipelines often include streaming data that needs to be processed in real time. While Spark Structured Streaming can help us build streaming pipelines, managing the Spark environment is no cakewalk. Wouldn't it be great to have a cloud service just to do that? This course walks you through Azure Databricks, which is Spark‑based Unified Analytics Platform running on Microsoft Azure, and you will see how it can be used as a platform for Spark Structured Streaming. Some of the major topics that we will cover include understanding the architecture and competence of Azure Databricks, setting up the Azure Databricks environment, building an end‑to‑end streaming pipeline, customizing the cluster to suit your own requirements, and other aspects, like pricing, best practices, and how it compares to other managed offerings. By the end of this course, you will be