This module focuses on designing scalable and efficient data architecture. Through a hands-on lab, you will develop the data architecture for FutureMart, a newly formed entity resulting from the merger of FashionMart and TrendyThreads. This module emphasizes data modeling, selecting appropriate data storage solutions, and creating high-level architecture designs that align with business objectives.

In this module, you will explore the strategies for data migration between different database systems. Through hands-on labs, you will perform data migration from a relational database (RDBMS) to a NoSQL database and vice versa, focusing on maintaining data integrity and understanding the requirements of data migration.

This module focuses on advanced data integration techniques, including building ETL pipelines and ensuring data quality. You will work in the hands-on labs to design an ETL pipeline for machine learning (ML) anomaly detection, perform data quality checks, and design a data warehouse schema for efficient data storage and retrieval.

This module focuses on the critical aspects of data governance and security. Through a case study, you will identify the cost of a data breach. By working on a hands-on lab, you will draft a comprehensive data governance plan for a company, addressing regulatory compliance, data protection, and policy implementation.

The final module brings together all your learning in a graded project. You will redesign the data architecture to manage a company acquisition, applying evaluation, design, migration, and governance principles. After completing the project, you will submit the artifacts developed in the project for grading. The module concludes with the reflections and the next steps in your learning journey.