What will you learn in IBM Data Architecture Professional Certificate Course
Design and implement robust data architecture frameworks.
Understand database design, data modeling, and data integration.
Use SQL, NoSQL, and IBM Db2 for scalable data solutions.
Work with data warehouses, lakehouses, and real-time pipelines.
Program Overview
Module 1: Introduction to Data Architecture
⏱️ 1 week
Topics: Role of a data architect, architectural principles, career pathways
Hands-on: Analyze real-world use cases for data architecture roles
Module 2: Relational Databases and Data Modeling
⏱️ 2 weeks
Topics: ER modeling, normalization, relational schema design
Hands-on: Design schemas using data modeling tools
Module 3: Working with SQL and Db2
⏱️ 2 weeks
Topics: SQL queries, joins, aggregations, database functions
Hands-on: Query relational databases using IBM Db2
Module 4: Data Warehousing and Analytics
⏱️ 2 weeks
Topics: Star/Snowflake schema, OLAP, BI tools, lakehouse concepts
Hands-on: Build analytics pipelines and explore lakehouse patterns
Module 5: Data Integration and ETL Pipelines
⏱️ 2 weeks
Topics: Data ingestion, ETL vs ELT, tools (DataStage, Apache NiFi)
Hands-on: Build ETL workflows using cloud-native tools
Module 6: NoSQL Databases
⏱️ 1 week
Topics: Key-value, document, column, and graph stores
Hands-on: Use NoSQL tools like MongoDB and Redis
Module 7: Cloud Data Architecture with IBM
⏱️ 2 weeks
Topics: Cloud-native storage, IBM Cloud Pak for Data, governance
Hands-on: Design scalable cloud data solutions
Capstone Project
⏱️ 2 weeks
Topics: Build an end-to-end data architecture for a real business scenario
Hands-on: Apply architectural principles, data modeling, and cloud tools
Get certificate
Job Outlook
High demand for data architects in cloud and enterprise systems.
Career paths include Data Architect, Database Engineer, Data Modeler.
Average salary ranges from $120,000 to $160,000 per year.
Excellent freelance consulting potential in cloud migration and data design.
Specification: IBM Data Architecture Professional Certificate
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FAQs
- The course starts with foundational concepts before advancing.
- It introduces relational databases, data models, and architecture basics.
- You don’t need prior professional experience, just basic computer literacy.
- Hands-on labs help you learn through practice rather than theory alone.
- It’s structured to support learners from beginner to intermediate levels.
- Builds skills in designing scalable data systems.
- Introduces ETL pipelines and data integration strategies.
- Covers governance and compliance topics, key for architects.
- Helps you understand enterprise-level data solutions.
- Prepares you for leadership in data strategy and infrastructure.
- Exposure to SQL databases and query languages.
- Practice with IBM Cloud and other industry tools.
- Hands-on labs for data modeling and design.
- ETL workflows with modern data platforms.
- Exercises that simulate real enterprise architecture challenges.
- Shorter and more focused than a full academic degree.
- Designed for industry-relevant skills rather than theory-heavy content.
- Recognized by employers for practical job readiness.
- Faster pathway to employment compared to multi-year programs.
- Can complement a degree or act as a standalone credential.
- Yes, it introduces cloud-native databases and design principles.
- Covers migration strategies from on-premises to cloud.
- Teaches hybrid and multi-cloud architectural approaches.
- Emphasizes scalability and performance in cloud systems.
- Prepares you for roles like Cloud Data Architect or Cloud Engineer.
