AWS End to End Data Engineering Projects
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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
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
