Modern Data Architectures
Modern Data Architectures
Published 10/2025
Duration: 1h 21m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 586.49 MB
Genre: eLearning | Language: English
Published 10/2025
Duration: 1h 21m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 586.49 MB
Genre: eLearning | Language: English
Data in the Modern World!
What you'll learn
- The fundamentals of data architecture and its importance in modern organizations
- How to identify and compare major data architecture patterns: Lambda, Kappa, Medallion, Data Mesh, and Data Fabric
- The strengths, limitations, and use cases for each architecture pattern
- How to design scalable, resilient, and future-ready data platforms
Requirements
- Basic understanding of data concepts (such as databases, tables, and data types)
- Familiarity with general IT or software terminology
- Interest in data engineering, analytics, or architecture (no prior experience required)
Description
Unlock the power of modern data architectures with this comprehensive, learner-friendly course from CodingGears. Designed for data professionals, IT leaders, and curious learners, this course explores the essential patterns and principles that drive today’s scalable, resilient, and intelligent data platforms.
You’ll dive deep into key architecture patterns—including Lambda, Kappa, Medallion, Data Mesh, and Data Fabric—learning how each addresses real-world challenges in data management, analytics, and governance. Through clear explanations, practical examples, and hands-on exercises, you’ll gain the skills to compare, design, and implement data architectures that fit your organization’s needs.
Whether you’re building your first data platform or refining an existing one, this course will empower you to make informed decisions, ask the right questions, and drive business value through effective data strategy.
What You’ll Learn
The fundamentals of data architecture and why it matters
Key patterns: Lambda, Kappa, Medallion, Data Mesh, and Data Fabric
How to compare architectures and choose the right one for your needs
Best practices for scalability, governance, and security
Real-world examples and actionable strategies
Who Is This Course For?
Data engineers, architects, and analysts
IT professionals and business leaders
Anyone interested in building or improving data platforms
How to Succeed in This Course
Engage actively:Work through the modules.
Reflect:Use the reflection questions to connect concepts to your own experience.
Practice:Apply what you learn to real-world scenarios.
Explore:Dive into additional resources for a deeper understanding.
Who this course is for:
- Data Engineers
- Data Architects
- Data Analysts
More Info