Overview
Curriculum
Learn the core principles of big data engineering and distributed systems to confidently tackle large-scale data challenges. This module introduces key topics such as cloud infrastructure models, distributed computing frameworks, and scalable system design. We’ll use tools like Hadoop and Spark to process data efficiently and explore modern architectures that support real-time analytics and machine learning workflows.
What You'll Learn
- Explain the role of data engineering in enabling scalable machine learning workflows
- Describe how distributed systems process and manage large-scale data efficiently
- Compare cloud service models and assess their suitability for different applications
- Identify the core components and workflows of Hadoop, Spark, and MapReduce
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