Ementorhub

What you'll learn

Gain hands-on experience working with data architecture that you can showcase in your portfolio and talk about in interviews.

Analyze and assess existing data architecture in alignment with business objectives.

Implement data migration and integration solutions, including building data pipelines.

Apply data governance and security protocols, ensuring compliance and data protection.

Skills you'll gain

Data Integrity

Data Architecture

Enterprise Architecture

Data Infrastructure

Data Storage

Data Management

Scalability

Solution Architecture

Data Modeling

Data Integration

Extract, Transform, Load

Data Strategy

Database Architecture and Administration

Data Migration

Data Quality

Database Design

Data Pipelines

Data Governance

Data Security

Data Warehousing

There are 6 modules in this course

During this course, you’ll apply all that you’ve learned throughout the Data Architecture Professional Certificate. As you work through the course, you’ll evaluate, design, migrate, and integrate enterprise data systems through a case study. In the capstone project, you will assess the current data architectures of two organizations, highlighting their strengths and identifying areas for improvement. Based on this analysis, you will design and implement a unified and efficient architecture for the newly merged entity, aligning with business goals. The project includes working with both RDBMS and NoSQL databases and developing ETL pipelines to ensure smooth data integration and flow. Additionally, you will create a data governance plan that addresses regulatory compliance and outlines strategies for data protection. Overall, this real-world inspired scenario will give you plenty to talk about implementing an architecture and managing a system transition in interviews. If you’re keen to add practical experience to your portfolio that employers look for, enroll today!

Designing the Data Architecture for an Enterprise

Data Migration in an Enterprise

Data Integration and Related Techniques

Data Governance for an Enterprise

Final Project and Submission