Data Engineering: Pipelines, ETL, Hadoop
Completed by Michael Daly
October 23, 2025
3 hours (approximately)
Michael Daly'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 Architecture
- Category: Apache Hive
- Category: Data Collection
- Category: Extract, Transform, Load
- Category: Data Import/Export
- Category: Data Capture
- Category: Data Processing
- Category: Data Transformation
- Category: Data Strategy
- Category: Apache Hadoop
- Category: Data-Driven Decision-Making
