Data Lake Fundamentals

Data Lake Fundamentals

Harness the power of advanced data analytics, AI, and machine learning



Sub Category

  • Data Science

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Objectives

  • Data Lake architecture, principles, and component
  • How Data Lakes differ from other architectures
  • How to evaluate your data architecture needs
  • Benefits, challenges, and best practices for Data Lakes
  • Implementing Data Lakes
  • Data Lake Security
  • Future Trends Related to Data Lakes


Pre Requisites

  1. No prior data experience necessary


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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