[Free] Data Engineering Project: Marketflow Analytics
Build a complete end-to-end data pipeline project using real tools like Kafka, Spark, and PostgreSQL. – Free Course
What you’ll learn
- Build a complete real-world data pipeline using Kafka, Spark, and PostgreSQL.
- Ingest and stream real-time data into Kafka for scalable processing.
- Organize tasks and workflow using JIRA to simulate a real data team environment.
- Generate insights from structured data using PostgreSQL and analytics techniques.
Requirements
- Basic understanding of Python and SQL is helpful but not mandatory. A willingness to learn and explore real-world tools is all you need.
Description
Step into the world of data engineering by working on a complete, end-to-end real-world project: MarketFlow Analytics. This hands-on course is perfect for learners who want to move beyond theory and build a practical project using modern data tools and workflows.You’ll follow a structured path to simulate a real-world data pipeline—from data ingestion to processing, task management, and analytics. Starting with a guided project introduction, you’ll explore how real-time data is streamed using Kafka, processed with Spark, and ultimately stored in PostgreSQL. Along the way, you’ll also learn how professionals manage tasks using tools like JIRA and conduct research to make data-driven architectural decisions.
This course emphasizes not just building pipelines but also understanding the data journey—from source to insight. You’ll also work with real crypto data to generate meaningful business analytics, preparing you for challenges in data-focused roles across industries.By the end of the course, you’ll have built a complete data engineering workflow that showcases your ability to work with streaming data, manage complex tasks, and think like a data engineer. Whether you’re preparing for your next role or building your portfolio, this project gives you the hands-on experience companies look for.
Start your journey into real-world data engineering today with MarketFlow Analytics.
Author(s): Pianalytix • 75,000+ Students Worldwide
