Building Scalable, Efficient Data Solutions with Real-World Applications
What you will learn
Evaluate and select data architectures based on specific business needs and data characteristics.
Design data models and implement database strategies for structured and unstructured data.
Build scalable, fault-tolerant data pipelines using ETL/ELT processes and real-time data processing.
Implement cloud-based data solutions on AWS, Azure, and multi-cloud environments.
Differentiate between modern data architectures, including data lakes, warehouses, and lakehouses, for optimal data storage.
Apply best practices for data governance, security, and compliance within data architecture frameworks.
Analyze and choose appropriate data integration and management tools for hybrid and multi-cloud strategies.
Plan a career path from Data Engineer to Data Architect, including key skills and certifications.
Why take this course?
Unlock the potential of data architecture with Data Architecture for Data Engineers: Practical Approaches. This course is designed to give data engineers, aspiring data architects, and analytics professionals a solid foundation in creating scalable, efficient, and strategically aligned data solutions.
In this course, youโll explore both traditional and modern data architectures, including data warehouses, data lakes, and the emerging data lakehouse approach. You’ll learn about distributed and cloud-based architectures, along with practical applications of each to suit different data needs. We cover key aspects like data modeling, governance, and security, with emphasis on practical techniques for real-world implementation.
Starting with the foundational principlesโdata quality, scalability, security, and cost efficiencyโwe’ll guide you through designing robust data pipelines, understanding ETL vs. ELT processes, and integrating batch and real-time data processing. With dedicated sections on AWS, Azure, and hybrid/multi-cloud architectures, youโll gain hands-on insights into leveraging cloud tools for scalable data solutions.
This course also prepares you for a career transition, offering guidance on skills, certifications, and steps toward becoming a data architect. Through case studies, quizzes, and real-world examples, youโll be equipped to make strategic architectural decisions and apply best practices across industries. By the end, youโll have a comprehensive toolkit to design and implement efficient data architectures that align with business goals and emerging data needs.