Data Engineering: Pipelines, ETL, Hadoop
Completed by Valerija Kijaskina
May 19, 2026
3 hours (approximately)
Valerija Kijaskina'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 Spark
- Category: Big Data
- Category: Data Processing
- Category: Data Pipelines
- Category: Apache Hive
- Category: Data Architecture
- Category: Data Warehousing
- Category: Data Transformation
- Category: Data Analysis
- Category: Data Strategy
- Category: Data Management
- Category: Dataflow
