Udemy - Data Lake Fundamentals

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Udemy - Data Lake Fundamentals (Size: 1.4 GB)
  1. Data Lake Definition.mp4 33.7 MB
  10. Best Practices of Data Lake.mp4 84.8 MB
  11. Various Data Lake Technologies in the Current Market.mp4 53.5 MB
  12. Data Lake Vendors.mp4 44.6 MB
  13. Open-Source Options in Data Lake.mp4 51.8 MB
  14. Trends and future outlook of Data Lake.mp4 37.4 MB
  15. Lambda Architecture.mp4 6.2 MB
  16. Principles of Lambda Architecture.mp4 8 MB
  17. Components of Lambda Architecture.mp4 11.3 MB
  18. Problem Statement Details.mp4 14.3 MB
  19. Implementation.mp4 238.1 MB
  2. Data Lake Architecture & Components.mp4 29.1 MB
  20. Understanding Basic Data Lake Project.mp4 20.6 MB
  21. Implementation of Basic Data Lake Project.mp4 239.5 MB
  22. Bonus Lecture.mp4 58 MB
  3. Data Lake Principles.mp4 65 MB
  4. How Data Lake differs from other architectures.mp4 77.9 MB
  5. Use cases.mp4 83.3 MB
  6. Evaluate data architecture & Roadmap!.mp4 69.1 MB
  7. Aspects of implementing this architecture, incl. security.mp4 63.5 MB
  8. Benefits of Data Lake.mp4 25.5 MB
  9. Challenges of Data Lake.mp4 79.9 MB
  dataset1.csv.txt 204.8 B
  dataset2.json.txt 512 B
  main.py.txt 2.9 KB
  ▲ 25 total files

Description


Course Description:

Welcome to the Data Lake Fundamentals course, designed to provide you with a comprehensive understanding of the core principles, architecture, and practical applications of Data Lakes in today's data-driven landscape. Whether you are a data professional, analyst, or aspiring data engineer, this course will empower you with the knowledge and skills needed to harness the potential of Data Lakes for effective data management and analysis.

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