Requirements

• Basic Understanding of Data Concepts: Familiarity with data structures
• databases
• and general data processing will make it easier to follow along with the technical aspects.
• Knowledge of SQL and Data Storage: Some experience with SQL and an understanding of different types of data storage (e.g.
• relational databases
• cloud storage) would be helpful
• though not essential.
• Interest in Data Architecture and Cloud Platforms: Curiosity about data architecture frameworks and cloud platforms like AWS
• Azure
• or Google Cloud will make the course content more engaging and relevant.
• "No specific tools or advanced skills are required for beginners; the course is designed to introduce you to key concepts and guide you through practical data architecture approaches step-by-step. If youre motivated to learn and eager to apply new skills
• this course is for you!"

Description

Who this course is for:

• "This course is ideal for Data Engineers
• aspiring Data Architects
• and Analytics Professionals who want to deepen their understanding of data architecture frameworks and practical applications. If youre a data professional looking to step into a strategic role by mastering data architecture
• this course is designed for you."
• Who will benefit from this course:
• Early-career Data Engineers and Analysts aiming to advance their careers by building robust skills in data architecture principles
• design
• and cloud technologies.
• Aspiring Data Architects who want a comprehensive
• practical foundation in data architecture concepts
• including data modeling
• data governance
• and cloud-based data solutions.
• Tech Professionals in Data-Related Roles such as Business Intelligence (BI) engineers
• Data Analysts
• or Software Engineers who want to transition into data engineering or architecture roles.
• IT Managers and Team Leads looking to enhance their teams’ data capabilities and understand the broader architectural decisions impacting data strategy.
• Prior Knowledge Recommendations:
• Familiarity with Basic Data Concepts such as databases
• data processing
• and SQL will help learners maximize their experience.
• An Interest in Cloud Platforms like AWS
• Azure
• or Google Cloud is beneficial
• but no advanced knowledge is required.
• Learners in this course will gain hands-on
• practical insights into data architecture
• positioning them to apply their knowledge immediately in data engineering roles or to transition toward data architecture.