Simplify data analytics in Azure for building end-to-end big data solutions, leveraging AI, and working with large datasets in a highly available cloud environment Key Features Boost Azure Databricks by building and optimizing Compute Clusters for Effective Solutions Elevate Data Solutions by leveraging OpenAI and Microsoft Fabric Integration in Azure Databricks Secure Azure Operations with High Availability, Disaster Recovery, and Unity Catalog Governance Book DescriptionThe second edition of Azure Databricks Cookbook offers hands-on recipes for ingesting and governing data, building modern data warehouses, and creating innovative AI solutions using Azure Databricks. Starting with creating an Azure Databricks instance, you'll explore clusters and ingest data from various sources like files, databases, and streaming platforms such as Apache Kafka and EventHub. You'll learn to load data in the Azure Databricks Lakehouse and cover end-to-end data pipelines, utilizing Delta tables and Azure Synapse Analytics for building a modern data warehouse. Enhance your knowledge with OpenAI and Microsoft Fabric integration for superior data solutions. Visualize insights and create dashboards with Databricks SQL and deploy and productionalize data pipelines using CI/CD for Azure Databricks notebooks. The book guides you through setting up Unity Catalog, configuring metastore, catalogs, databases, and tables. It emphasizes ensuring operations continuity with high availability and disaster recovery planning. Finally, you'll explore modernizing workloads with AI and cost-efficient administration. By the end of this book, you will have unlocked transformational insights from data, mastered predictive modeling techniques, and understood development operations best practices to optimize your data solutions.What you will learn Build a modern data warehouse with Delta Tables and Azure Synapse Analytics Create real-time dashboards in Databricks SQL Implemement data governance with Unity Catalog Build end-to-end data processing pipeline for near real-time data analytics Integrate Azure DevOps for version control, deploying, and productionizing solutions with CI/CD pipelines Ensure operations continuity with High Availability and Disaster Recovery planning Enhance Azure Databricks with OpenAI and Microsoft Fabric integration for cutting-edge data solutions Who this book is forThis recipe-based book is for data engineers , data scientists, , big data professionals, and machine learning engineers who want to perform data analytics on their massive data sets. Prior experience with Apache Spark and Microsoft Azure is necessary to get the most out of this book.