People Innovation Excellence

BIG DATA PROCESSING (2/2 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to:

  1. Define big data processing concepts
  2. Explain big data architecture layers
  3. Demonstrate big data analytics and visualizations
  4. Differentiate big data case studies

Topics:

  1. Introduction to Big Data
  2. Big Data Architecture
  3. Ingestion Layer
  4. Hadoop Infrastructure Layer
  5. Hadoop Storage Layer
  6. Hadoop Storage Layer
  7. Hadoop Platform Management
  8. Hadoop Platform Management
  9. Big Data Analytics
  10. Big Data Analytics (Apache Spark & SparkML)
  11. Big Data Visualization
  12. Big Data Case Study
  13. Project Presentation
  14. Introduction to Big Data
  15. Hadoop Platform Management
  16. Big Data Management System I
  17. Big Data Management System II
  18. Quiz
  19. Introduction to Spark
  20. Spark SQL
  21. Spark Streaming
  22. Data Exploration and Classification
  23. Clustering & Model Evaluation
  24. Data Visualization
  25. Final Exam

Published at : Updated

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