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AWS End to End Data Engineering Projects

4.0 (1)
14 learners

What you'll learn

This course includes

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

Course content

1 modules • 40 lessons • 68.3 hours of video

AWS End to End Data Engineering Projects

40 lessons • 68.3 hours
  • 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 Course01:08:39
  • 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 Project01:25:18
  • End to End Realtime Streaming with Unstructured Data | Get Hired as an Experienced Data Engineer02:30:32
  • Real Estate End to End Data Engineering using AI02:08:27
  • Building Data Lakehouse from Scratch - End to End Data Engineering Project55:06
  • Realtime Streaming with Data Lakehouse - End to End Data Engineering Project01:09:39
  • Realtime Algorithmic Trading with Apache Flink | End to End Data Engineering Project01:41:35
  • Query Optimisation for Data Engineers | End to End Walkthrough51:56
  • 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 Project01:02:01
  • Building a High Performance Real-Time Analytics Database - End to End Data Engineering Project01:10:52
  • 1.2 Billion Records Per Hour High Performance Kafka and Spark - End to End Data Engineering Project02:17:32
  • 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 104:51:14
  • Apache Iceberg Explained in 10 Minutes – Everything You Need to Know!11:55
  • 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 Project01:34:13
  • Smart City End to End Realtime Data Engineering Project | Get Hired as an AWS Data Engineer02:27:07
  • Realtime Logs Processing with Apache Airflow, Kafka and Elasticsearch - End to End Data Engineering02:03:26
  • Realtime Logs Processing with Apache Airflow, Kafka and Elasticsearch - PART 101:25:26
  • Build a Fraud Detection AI from Scratch: End-to-End Machine Learning Project05:55:42
  • Building Realtime End to End Sales Forecasting AI from Scratch04:59:53
  • End to End Modern Distributed Data Lakehouse using Apache Iceberg, Trino, Airflow, DBT and Minio01:57:45
  • Build Churn Training and Inference AI from Scratch - End to End Machine Learning Project01:54:31
  • Apache Spark on Kubernetes: The RIGHT Way (No Master/Worker Clusters Needed)57:54
  • Setting up Apache Spark Master Worker Architecture07:12
  • Monitoring High Performance Systems - An End to End Data Engineering Project01:23:29
  • Setting up Apache Projects Architectures03:20
  • Working with Amazon Managed Service for Apache Flink (MSF) - End to End Data Engineering Project02:47:04
  • Designing DataWarehouse from Scratch | End to End Data Engineering02:41:21
  • Apache Spark Processing with AWS EMR | Data Engineering Project39:24
  • Reddit Data Pipeline Engineering | AWS End to End Data Engineering01:35:01
  • DevOps in Data Engineering: End-to-End Automation with CI/CD, Terraform & AWS02:44:56
  • DevOps in Data Engineering: End-to-End Automation with CI/CD, Terraform & AWS - PART 157:28
  • Build a Production-Ready Real-Time CDC Pipeline (Debezium + Kafka + Postgres)01:02:54

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