• Explore Azure Databricks to build and monitor your compute clusters, as well as govern data with Unity Catalog for effective solutions • Use cutting-edge AI technologies with your big data workloads • Use Databricks SQL to run ad hoc queries on your data lake and create dashboards • Effectively govern data with Unity Catalog • Harness the power of AI to both apply it to your data and to create solutions based on your data • Read and write data from and to various Azure resources and file formats • Build a modern data warehouse with Delta Tables and Azure Synapse Analytics • Learn and create real-time dashboards in Databricks SQL • Integrate Azure DevOps for version control, deploying, and productionizing solutions with CI/CD pipelines • Build end-to-end data processing pipeline for near real-time data analytics This recipe-based book is for data engineers, data scientists, big data professionals, and machine learning engineers who want to perform data analytics on their applications. Prior experience of working with Apache Spark and Azure is necessary to get the most out of this book.