Azure Databricks Cookbook : Accelerate cloud data analytics, data governance, Microsoft Fabric, and OpenAI with Azure Databricks (2 Revised edition)

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 environmentKey FeaturesBoost Azure Databricks by building and optimizing Compute Clusters for Effective SolutionsElevate Data Solutions by leveraging OpenAI and Microsoft Fabric Integration in Azure DatabricksSecure Azure Operations with High Availability, Disaster Recovery, and Unity Catalog GovernanceBook 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 learnBuild a modern data warehouse with Delta Tables and Azure Synapse AnalyticsCreate real-time dashboards in Databricks SQLImplemement data governance with Unity CatalogBuild end-to-end data processing pipeline for near real-time data analyticsIntegrate Azure DevOps for version control, deploying, and productionizing solutions with CI/CD pipelinesEnsure operations continuity with High Availability and Disaster Recovery planningEnhance Azure Databricks with OpenAI and Microsoft Fabric integration for cutting-edge data solutionsWho 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.