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Big Data Foundations and Concepts
This learning path is actively in production. More content will be added to this page as it gets published and becomes available in the library. Planned content includes: 1. Big Data Foundations: Core Concepts (video course) 2. Big Data Foundations: Storage and Data Formats (video course) 3. Big Data Foundations: Data Ingestion and Movement Patterns (video course) 4. Big Data Foundations: Distributed Processing Principles (video course) 5. Big Data Foundations: The Modern Data Ecosystem (video course) 6. Big Data Foundations: Query Engines and Analytics (video course) 7. Big Data Foundations: Architecture and Governance (video course)
Big data is a term that describes datasets whose scale, complexity, or speed exceeds the limits of traditional data systems. This path is designed for learners who want a clear, practical foundation in how modern organizations store, process, and analyze data at scale.
Content in this path
Big Data Foundations and Concepts
Watch the following courses to get started on your Big Data learning journey.
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What You'll Learn
- Core big data concepts and terminology
- Considerations for storage and data formats in big data systems
- Considerations for data ingestion and movement in big data systems
- Considerations for distributed processing in big data systems
- Considerations for tooling and platforms in big data systems
- Considerations for query engines and analytics in big data systems
- Considerations for architecture and governance in big data systems
- Learners interested in this skill path should have a foundational understanding of core data concepts like databases, structured vs. unstructured data, SQL, and basic analytics terminology.
- Data engineering
- Data warehousing
- Stream processing
- Data architecture