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SWE 310: Data Engineering & Scalable Data Pipelines
Architectural principles of large-scale data engineering. Batch vs stream processing, Extract-Transform-Load (ETL) and ELT pipelines, distributed compute frameworks (Apache Spark), distributed messaging, data lakehouse architectures (Apache Parquet, ...
Course Overview
Architectural principles of large-scale data engineering. Batch vs stream processing, Extract-Transform-Load (ETL) and ELT pipelines, distributed compute frameworks (Apache Spark), distributed messaging, data lakehouse architectures (Apache Parquet, ... Curriculum Structure &...
What You'll Learn
- Architect resilient, fault-tolerant batch and streaming data pipelines processing high-volume event streams.
- Write distributed dataset transformations using Apache Spark DataFrames and PySpark.
- Orchestrate multi-stage data dependencies using Apache Airflow Directed Acyclic Graphs (DAGs).
- Manage evolving data schemas using Apache Avro and Schema Registry without breaking consumers.
- Implement automated data quality verification gates using Great Expectations.
Requirements
- SWE 205
- SWE 210
Degree Programme Curriculum Context
This course is a curriculum unit of the Bachelor of Engineering (B.Eng.) in Software Engineering degree framework in Nigeria.
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Course Curriculum
Open-access academic curriculum. All foundational lectures available to read free.
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Academic Ecosystem & Connected Pathways
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Instructor
PAMCET Learning Team
Institutional Course Curation · PAMCET
Qualifications:
PAMCET Learning Team — Institutional Course Curation, Digitpen Hub LtdMy Skills:
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- Learning Outcome Design
- Course Publishing & Quality Assurance
- Platform Content Operations
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Course Includes
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