Overview
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.
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 you're 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.
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 you're motivated to learn and eager to apply new skills, this course is for you!
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, you’ll 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 principles—data quality, scalability, security, and cost efficiency—we'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, you’ll 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, you’ll be equipped to make strategic architectural decisions and apply best practices across industries. By the end, you’ll have a comprehensive toolkit to design and implement efficient data architectures that align with business goals and emerging data needs.
Manas Jain
With over 18 years of experience in data analytics and engineering, Manas Jain is a dynamic leader recognized for driving technological innovation and transformation. He specializes in leveraging cloud platforms like AWS and Azure to elevate business intelligence and has significant expertise in modern data architectures, including Data Mesh and data products.
Manas has successfully led large-scale projects in data management, product engineering, and program management, with a focus on strategic design and scalable architecture. His experience includes guiding teams in the development of agile, cloud-based data solutions, enabling organizations to enhance data quality, real-time analytics, and decision-making capabilities.
Having spearheaded projects surpassing $3 million in value, Manas is adept at aligning technology solutions with business goals while fostering collaboration across disciplines. He is also a strong advocate of agile project management, ensuring efficient, timely project delivery.
As a trainer, Manas brings a hands-on, practical approach to teaching, drawing from his extensive career to provide learners with actionable insights into cloud solutions, data governance, and modern data architectures. Whether you're new to data systems or looking to expand your expertise, Manas’s courses will guide you through the latest in data innovation and best practices.