Data Lake Fundamentals
Unlocking the Power of Data Lakes: A Comprehensive Guide || Hands-On Data Lake Projects: From Theory to Practice
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8,145
students
2 hours
content
Mar 2025
last update
$24.99
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What you will learn
Introduction to Data Lakes: Definition and purpose of Data Lakes. Distinction between Data Lakes and other data storage architectures (e.g., Data Warehouses).
Components of a Data Lake: Understanding the essential components such as storage, processing, and metadata management. Overview of technologies commonly used
Data Lake Architecture: Architectural considerations and best practices for designing a Data Lake. Integration with other data processing systems and tools.
Data Lake Use Cases: Real-world use cases demonstrating the versatility and applicability of Data Lakes across industries.
Challenges and Best Practices: Common challenges in implementing and maintaining Data Lakes. Best practices for overcoming challenges and optimizing Data Lake
Hands-on Projects: Practical projects and exercises to apply learned concepts. Building a simple Data Lake and working with real datasets.
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5788088
udemy ID
1/27/2024
course created date
2/6/2024
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