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 LearnThe fundamentals of data architecture and why it mattersKey patterns: Lambda, Kappa, Medallion, Data Mesh, and Data FabricHow to compare architectures and choose the right one for your needsBest practices for scalability, governance, and securityReal-world examples and actionable strategiesWho Is This Course For?Data engineers, architects, and analystsIT professionals and business leadersAnyone interested in building or improving data platformsHow to Succeed in This CourseEngage 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

https://rapidgator.net/file/9bba182f4dbfad3f851152c1628a72d8/Modern_Data_Architectures.rar.html