Data Engineering: Pipelines, ETL, Hadoop
Completed by Atharva Khaire
January 9, 2026
3 hours (approximately)
Atharva Khaire'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 Warehousing
- Category: Data Integration
- Category: Apache Hive
- Category: Dataflow
- Category: Extract, Transform, Load
- Category: Apache Spark
- Category: Data-Driven Decision-Making
- Category: Data Pipelines
- Category: Data Analysis
- Category: Data Strategy
- Category: Data Transformation
