Data Engineering: Pipelines, ETL, Hadoop
Completed by IMAD EL KHELYFY
December 17, 2024
3 hours (approximately)
IMAD EL KHELYFY'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 Integration
- Category: Data Warehousing
- Category: Data Processing
- Category: Data Management
- Category: Data Architecture
- Category: Data Analysis
- Category: Data Transformation
- Category: Data Strategy
- Category: Extract, Transform, Load
- Category: Data-Driven Decision-Making
- Category: Scalability
