Azure Databricks Cookbook
Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service
VJCreated by Phani Raj, Vinod Jaiswal
Explore how to build scalable analytics solutions using Azure Databricks and Apache Spark. Learn to connect with various Azure resources, manage data pipelines, and tackle real-world challenges in deploying and monitoring big data projects. Gain practical skills for orchestrating, securing, and productionizing analytics workflows.
Packt | Sep 2021 | 452 min
What You Will Learn
You will get hands-on experience by creating and managing Databricks clusters, ingesting data from batch and streaming sources, and building data pipelines. Step-by-step guidance helps you integrate with Azure services, optimize performance, and apply best practices for deploying and monitoring solutions in production environments.
Key Features
- Connect Databricks with Azure services to build robust, scalable data pipelines
- Run ad hoc queries and create interactive dashboards using Databricks SQL
- Implement CI/CD workflows to deploy and monitor analytics solutions efficiently
Target Audience
Designed for data engineers, data scientists, and big data professionals with prior experience in Apache Spark and Azure. If you want to streamline analytics workflows, build modern data warehouses, and confidently deploy data solutions at scale, this learning path is a great fit for your goals.
