Data Engineering: Pipelines, ETL, Hadoop
Completed by Melvis Onoriode
November 17, 2025
3 hours (approximately)
Melvis Onoriode'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: Apache Hive
- Category: Data Warehousing
- Category: Data Analysis
- Category: Data Architecture
- Category: Data Transformation
- Category: Scalability
- Category: Data Processing
- Category: Data Management
- Category: Big Data
- Category: Data Pipelines
- Category: Apache Spark
- Category: Data-Driven Decision-Making
