Azure Real-Time Data Pipeline Combo Course: Build Projects with ADF, Databricks, Kafka, and More

This comprehensive course offers hands-on experience in building scalable, real-time data projects on Microsoft Azure, utilizing key technologies like Azure Data Factory (ADF), Databricks, Kafka, Spark, and more. By integrating critical Azure components and tools, you'll learn how to develop robust data pipelines for both batch and streaming data, while implementing industry best practices for Continuous Integration and Continuous Deployment (CI/CD) pipelines.

Key Highlights:

• Build real-time projects using Microsoft Azure tools and services
• Integrate Azure Data Factory, Azure Databricks, and Role-Based Access Control (RBAC)
• Work with Kafka, Spark, Databricks Autoloader, and Delta Live Tables (DLT) for near real-time data streaming
• Implement secure and scalable data handling with Unity Catalog and Azure Logic Apps
• Develop and deploy Continuous Integration and Continuous Deployment (CI/CD) pipelines

What You Will Learn:

• Understand the fundamentals of Azure Data Factory and create pipelines, datasets, and data flows
• Integrate Databricks with ADF for scalable data processing solutions
• Set up Kafka for real-time data streaming and manage data transformations with Spark
• Implement RBAC for secure data access and management
• Automate deployment processes and ensure continuous delivery with CI/CD pipelines
• Manage near real-time streaming data with Databricks Autoloader and Delta Live Tables (DLT)
• Gain practical experience in the banking domain and learn how to handle bug tracking, error monitoring, and alerting using Azure DevOps

This course equips you with the skills to handle both batch and streaming data, enabling you to build and deploy full-scale, real-time data solutions on the cloud.