CodeWithYu Courses

Realtime Change Data Capture Streaming - End-to-End Data Engineering Project

Implement real-time Change Data Capture streaming using Docker, Postgres, Debezium, Kafka, Apache Spark, and Slack. Create an efficient data pipeline for responsive data engineering projects.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Apache Flink for Sales Analytics - End-to-End Data Engineering Project

Develop an end-to-end sales analytics project using Apache Flink. Learn data ingestion, processing, complex transformations, and custom output formats for big data processing.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Apache Spark Processing with AWS EMR - Data Engineering Project

Master AWS EMR for data processing: set up, submit Spark jobs, visualize on Hadoop UI, and leverage cloud computing for efficient big data handling.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Creating and Submitting Java Spark Jobs to Spark Clusters

Create and submit Java Spark jobs to clusters. Learn end-to-end data engineering with Airflow, Docker, Spark, Scala, Python, and Java. Build and process jobs in multiple languages for live results.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Apache Airflow with Spark for Data Engineers - Full Course

Build end-to-end data engineering projects using Apache Airflow, Docker, Spark, and multiple programming languages. Learn to create and submit jobs to Spark clusters for processing and view real-time results.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Realtime Socket Streaming with Apache Spark - End-to-End Data Engineering Project

Build a real-time data streaming pipeline using TCP/IP Socket, Apache Spark, OpenAI LLM, Kafka, and Elasticsearch. Process 7 million records for sentiment analysis and efficient data indexing.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Free Video

Reddit Data Pipeline Engineering with AWS - End-to-End Data Engineering

Build a comprehensive Reddit data pipeline using AWS services, integrating Airflow, S3, Glue, Athena, and Redshift for efficient ETL processes and analytics.

• YouTube
• 1 hour 35 minutes
• Self-Paced
• Free Video

End-to-End Data Engineering on Azure Spark Cluster: Japan Visa Analysis

Set up Spark master-worker architecture in Docker on Azure, process and visualize Japan visa data using PySpark and Plotly. Clean, transform, and gain insights into visa trends through interactive data analysis.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Football Data Analytics with Tableau - Azure Data Engineering Project Part 3

Explore football data engineering: Extract Wikipedia data, store in Azure, migrate with Data Factory, query with Synapse, and visualize in Tableau. Master end-to-end data processes.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Football Data Analytics: Azure End-to-End Data Engineering Project - Part 2

Extract, store, and analyze football data using Azure services and Apache Airflow. Develop end-to-end data engineering skills through hands-on implementation of a real-world project.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Football Data Analytics: Azure End-to-End Data Engineering Project

Extract, clean, and analyze football data using Apache Airflow, Azure services, and Tableau. Build a comprehensive data pipeline from Wikipedia to interactive visualizations.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Face Anonymization with Python - Blurring and Pixelating Techniques

Anonymize faces in images using Python: detect, blur, and pixelate for privacy. Learn CPU and GPU techniques, compare results, and ensure data protection in your projects.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Google Cloud Real-Time Streaming - End-to-End Data Engineering Project

Build an end-to-end data engineering pipeline for real-time YouTube Analytics, using Python, Google Cloud, Docker, and Kafka. Learn to fetch, process, and stream data, with instant Telegram notifications.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

Realtime Data Streaming - End-to-End Data Engineering Project

Build a real-time data streaming pipeline using Apache Airflow, Kafka, Spark, and Cassandra. Learn end-to-end data engineering, from ingestion to processing and storage, all containerized with Docker.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

AI-Powered Workout Manager: Pose Detection and Rep Counting with Python

Transform workouts with AI-powered pose detection. Track reps, get real-time form feedback, and explore Python codebase using OpenCV and MediaPipe for an innovative fitness experience.

• YouTube
• 55 minutes
• Self-Paced
• Free Video