Streaming Data Pipeline using Confluent & Azure Platforms

Learn to build a real-time streaming data pipeline with this practical, hands-on course! You'll gain valuable skills in connecting Confluent Kafka to Azure Functions and ultimately storing data in Azure Cosmos DB, culminating in actionable insights visualized with Power BI.

This course provides a step-by-step walkthrough of the entire architecture, ensuring you not only understand the concepts but can immediately apply them in a cloud environment. You'll gain practical experience with key Azure Cloud Platform services, including:

• Azure Functions: Deploy and configure serverless functions for data processing.
• Azure Cosmos DB: Utilize a globally distributed, multi-model database for data storage.
• Power BI: Create operational reports and dashboards to visualize streaming data.

Delve into Confluent Kafka with hands-on experience:

• Set up a fully managed Kafka cluster – no infrastructure management required!
• Create Kafka topics for efficient message streaming.
• Configure a Source Connector to simulate real-world data ingestion.
• Implement the Azure Functions Sink connector to seamlessly transfer data to Azure Cosmos DB.

Throughout the course, you'll learn essential skills in logging, troubleshooting, monitoring, and configuring these critical cloud services. This will equip you to build secure, scalable, and reliable applications in the cloud.

By the end of this course, you'll have a working, scalable data pipeline, a solid understanding of cloud-native architectures, and the hands-on experience to tackle real-world projects.

This course is ideal for:

• Cloud Engineers looking to expand their skillset.
• Data Engineers seeking practical experience with streaming data.
• Product Owners and Product Managers wanting to understand data pipelines.
• Scrum Masters supporting data-driven projects.
• Technology Leaders aiming to leverage real-time data insights.