Streaming Data Pipeline Using Confluent & Azure Platforms

What you'll learn
Develop understanding of confluent platform, be able to create Cluster, Topics, Managed Source & Sink connectors
Develop hands on skills on Azure Function App, Azure Functions
Able to create Cosmos DB Account, container, database and query cosmos db
Able to setup Cosmos DB & Power BI Integration, Azure Function Sink connector and Azure Function Integration
Able to setup Power BI to fetch data from cosmos and create a visual from data
Develop understanding of creating & deploying Azure functions using Visual Studio Code
Requirements
Be able to create Azure Account for hands on practice & follow along
Be able to create Confluent Cloud Account for hands on practice & follow along
Be able to install Power BI for hands on practice & follow along
Be able to install Visual Studio Code for hands on practice & follow along
Description
In this hands-on course, participants will follow along step-by-step to build a real-time streaming data pipeline that sends data from Confluent Kafka using Azure Functions Sink connector to Azure Functions to Azure Cosmos DB and finally creating operational report using Power BI. This course is designed to provide practical, real-world skills by walking through each component of the architecture, ensuring that learners not only understand the concepts but also apply them directly in a cloud environment.On the Azure Cloud Platform side, participants will gain experience working with several important services, including Azure Functions, Cosmos No SQL DB and Power BI. The participant will also be exposed to logging, trouble shooting, monitoring and configuring these Azure Cloud Platform services. These services are essential for building secure, scalable, and reliable applications in the cloud.On the Confluent Kafka side, learners will set up a fully managed Kafka cluster, create topics for message streaming, & configure a fully managed Source Connector to simulate real-world data ingestion, also configure fully managed Azure Functions Sink connector. This gives participants valuable exposure to enterprise-grade Kafka infrastructure without the overhead of managing the platform themselves.By the end of this course, participants will have built a working, scalable pipeline, gained insights into cloud-native architectures, and acquired hands-on experience that can be directly applied to real-world projects or professional roles.This course is suitable for budding Cloud Engineers, mid level Data Engineers, Product Owners, Product Mangers, Scrum Masters and Technology Leaders looking to get a hands-on experience of building a Real time Streaming Data Pipeline.
Entry Level Cloud developers looking to build skills in Confluent Kafka, Azure & Power BI space,Mid to Sr. Level Software Engineers looking to build data engineering skills by building Real time streaming data pipeline,Product Managers looking to get hands-on experience with Real Time streaming data pipeline using Azure + Confluent + Power BI,Technology Leaders looking to get hands-on experience with Real Time streaming data pipeline using Azure + Confluent + Power BI & gain appreciation for effort involved
Homepage
https://www.udemy.com/course/streaming-data-pipeline-using-confluent-azure-platforms/

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