IBM Data Architecture Professional Certificate

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

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