Data Engineering: Pipelines, ETL, Hadoop
Completed by Duy Khanh Nguyen
February 10, 2026
3 hours (approximately)
Duy Khanh Nguyen's account is verified. Coursera certifies their successful completion of Data Engineering: Pipelines, ETL, Hadoop
What you will learn
Analyse the architecture and components of data pipelines to understand their impact on data flow and processing efficiency.
Implement robust ETL processes, for scalability and maintainability.
Analyze big data challenges and introduce Hadoop ecosystem tools (HDFS, MapReduce, Hive, Pig, and Spark) for data processing tasks.
Skills you will gain
- Category: Scalability
- Category: Data Transformation
- Category: Data Analysis
- Category: Apache Spark
- Category: Data Processing
- Category: Dataflow
- Category: Data Strategy
- Category: Data Architecture
- Category: Extract, Transform, Load
- Category: Data-Driven Decision-Making
- Category: Data Management
- Category: Data Pipelines
