Data Engineering: Pipelines, ETL, Hadoop
Completed by Simone Mugnai
January 15, 2025
3 hours (approximately)
Simone Mugnai'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 Processing
- Category: Data Integration
- Category: Business Analytics
- Category: Data Analysis
- Category: Data Transformation
- Category: Data-Driven Decision-Making
- Category: Data Capture
- Category: Apache Hive
- Category: Dataflow
- Category: Extract, Transform, Load
- Category: Big Data
- Category: Data Pipelines
