Data Engineering: Pipelines, ETL, Hadoop
Completed by Ali Suleman
June 22, 2026
3 hours (approximately)
Ali Suleman'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: Data Pipelines
- Category: Apache Hadoop
- Category: Data Warehousing
- Category: Data Integration
- Category: Data Processing
- Category: Data-Driven Decision-Making
- Category: Apache Spark
- Category: Scalability
- Category: Data Architecture
- Category: Extract, Transform, Load
- Category: Data Management
- Category: Apache Hive
