Data Engineering: Pipelines, ETL, Hadoop
Completed by Viraj Rajesh Mohod
February 21, 2026
3 hours (approximately)
Viraj Rajesh Mohod'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-Driven Decision-Making
- Category: Data Transformation
- Category: Big Data
- Category: Data Pipelines
- Category: Scalability
- Category: Data Warehousing
- Category: Data Integration
- Category: Apache Hive
- Category: Data Analysis
- Category: Dataflow
- Category: Data Architecture
- Category: Extract, Transform, Load
