Data Engineering: Pipelines, ETL, Hadoop
Completed by LAKSHMI AMRUTHA DUVVURI
December 28, 2024
3 hours (approximately)
LAKSHMI AMRUTHA DUVVURI'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 Hadoop
- Category: Data Warehousing
- Category: Data Integration
- Category: Data Strategy
- Category: Data Transformation
- Category: Big Data
- Category: Data Pipelines
- Category: Data Analysis
- Category: Data-Driven Decision-Making
- Category: Apache Hive
- Category: Scalability
- Category: Apache Spark
