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B.Eng DegreeFaculty of Faculty of Engineering & TechnologySoftware Engineering

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, ...

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created_by PAMCET Learning Team
intermediate1 weekEnglish

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.

8 Chapters
0 Lecture
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Instructor

PAMCET Learning Team

PAMCET Learning Team

Institutional Course Curation · PAMCET

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SWE 310: Data Engineering & Scalable Data Pipelines
Free

Course Includes

8 Chapters
0 Lectures
1 week
Skill Level intermediate
Taught in English
Lifetime Access
Certification of Completion
Category: University - Software Engineering
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