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Mastering End-to-End Data Engineering Projects

Master End-to-End Data Engineering: Real-Time Streaming, AI Integrations, and High-Performance Systems! Dive into hands-on projects, expert-guided tutorials, and cutting-edge technologies for a standout career in data engineering.

5.0 (29)
250 learners

What you'll learn

Understand and implement real-time streaming with Google Cloud for data engineering projects
Learn how to perform real-time socket streaming using Apache Spark
Master the use of Apache Airflow alongside Spark, Pyspark, Java, and Scala for data engineering
Develop skills to build and optimize high-performance, real-time analytics databases

This course includes

  • 34 hours of video
  • Certificate of completion
  • Access on mobile and TV

Course content

1 modules • 23 lessons • 34 hours of video

Mastering End-to-End Data Engineering Projects
23 lessons • 34 hours
  • Google Cloud Realtime Streaming | End to End Data Engineering Project01:28:23
  • Realtime Socket Streaming with Apache Spark | End to End Data Engineering Project01:42:25
  • Apache Airflow with Spark, Pyspark, Java, Scala for Data Engineers || Full Course01:08:38
  • Apache Flink For Analytics | End to End Data Engineering Project58:06
  • Realtime Voting System | End-to-End Data Engineering Project02:18:35
  • Kubernetes for Modern Data Engineering: An End to End Data Engineering Project01:25:17
  • End to End Realtime Streaming with Unstructured Data | Get Hired as an Experienced Data Engineer02:30:31
  • Real Estate End to End Data Engineering using AI02:08:27
  • Building Data Lakehouse from Scratch - End to End Data Engineering Project55:05
  • Realtime Streaming with Data Lakehouse - End to End Data Engineering Project01:09:39
  • Realtime Algorithmic Trading with Apache Flink | End to End Data Engineering Project01:41:34
  • Query Optimisation for Data Engineers | End to End Walkthrough51:55
  • Decodable vs AWS Managed Service for Apache Flink (MSF) - End to End Data Engineering Project02:33:43
  • Realtime Stock Market Anomaly Detection using ML Models | An End to End Data Engineering Project01:02:00
  • Building a High Performance Real-Time Analytics Database - End to End Data Engineering Project01:10:51
  • 1.2 Billion Records Per Hour High Performance Kafka and Spark - End to End Data Engineering Project02:17:31
  • End to End Monitoring of High Performance Systems - A Data Engineering Project PART 128:19
  • End to End Monitoring with Prometheus, Grafana, Apache Kafka and Spark - A Data Engineering Project20:08
  • Elasticsearch for High Throughout Systems - 1 Billion records!34:49
  • Build Realtime Fraud Detection AI from Scratch - End to End Machine Learning Project - Part 104:51:13
  • Apache Iceberg Explained in 10 Minutes – Everything You Need to Know!11:54
  • Build Churn Training and Inference AI from Scratch - End to End Machine Learning Project - Part 150:43
  • Building Self-Healing Data Pipeline - End to End Data Engineering Project01:34:12

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