Data Engineering: Pipelines, ETL, Hadoop
Completed by Ahmed Hanafii
December 28, 2025
3 hours (approximately)
Ahmed Hanafii'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 Capture
- Category: Data Processing
- Category: Apache Hive
- Category: Business Analytics
- Category: Data Integration
- Category: Data Analysis
- Category: Data-Driven Decision-Making
- Category: Data Architecture
- Category: Extract, Transform, Load
- Category: Dataflow
- Category: Data Transformation
