Course curriculum

    1. Understanding Big Data

    2. 1.1 Evolution of Big Data

    3. 1.2 Defining Big Data

    4. 1.3 Real World Case

    5. 1.4 Review Questions

    6. 1.5 Additional Resources

    1. Big Data Architecture

    2. 2.1 The Evolution of Data Architecture

    3. 2.2 Storage Systems

    4. 2.3 Distributed Computing

    5. 2.4 Data Pipelines

    6. 2.5 Common Architectual Patterns

    7. 2.6 Practical Considerations

    8. 2.7 Review Questions

    9. 2.8 Additional Resources

    1. 3.1 Overview

    2. 3.2 Structured Data Sources

    3. 3.3 Unstructured Data Sources

    4. 3.4 Semi-Structured Data

    5. 3.5 Data Quality Considerations

    6. 3.6 Practical Implementation

    7. 3.7 Review Questions

    8. 3.8 Additional Resources

About this course

  • 23 lessons

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