What will you learn in Data Warehousing Certification Training Course
Grasp core data warehousing concepts: subject orientation, time variance, and integration.
Design and implement dimensional models using star and snowflake schemas.
Handle Slowly Changing Dimensions (Types I–III) and maintain historical data.
Build end-to-end ETL pipelines with Talend, including extraction, transformation, and load.
Model data with ERWin and generate metadata for reporting.
Create BI dashboards and visualizations in Tableau to derive insights.
Program Overview
Module 1: Data Warehouse Fundamentals
⏳ 3 hours
Topics: OLTP vs. OLAP, Data Marts, Operational Data Store, warehouse architecture.
Hands-on: Sketch your own warehouse architecture and identify key components.
Module 2: Dimensional Modeling & SCD
⏳ 4 hours
Topics: Fact vs. dimension tables, hierarchies, star and snowflake schemas, Slowly Changing Dimensions.
Hands-on: Model a customer sales schema and implement SCD Type II in ERWin.
Module 3: Normalization & Schema Design
⏳ 3 hours
Topics: Normal forms, galaxy schemas, metadata management.
Hands-on: Normalize a sample dataset and map to appropriate schema types.
Module 4: ETL Development with Talend
⏳ 6 hours
Topics: Talend components, data extraction, transformation functions, job orchestration.
Hands-on: Build a Talend job to ingest CSV and database sources into staging.
Module 5: BI Visualization with Tableau
⏳ 5 hours
Topics: Connecting Tableau to warehouses, building dashboards, filters, calculated fields.
Hands-on: Create interactive dashboards tracking sales trends and KPIs.
Module 6: Capstone Project
⏳ 4 hours
Topics: End-to-end pipeline orchestration, from source ingestion to dashboard delivery.
Hands-on: Deliver a complete mini-project: ingest raw data, model it, load into warehouse, and build a Tableau dashboard.
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Job Outlook
Data engineers, ETL developers, and BI analysts command salaries from $90K–$130K USD.
Expertise spans industries: finance, healthcare, retail, and tech.
Skills in Talend, ERWin, and Tableau are highly sought after for enterprise analytics roles.
Career paths include Data Architect, Analytics Engineer, and BI Consultant.
Specification: Data Warehousing Certification Training Course
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FAQs
- Basic SQL knowledge is helpful but not mandatory.
- The course introduces queries during modeling and ETL.
- Tools like Talend simplify extraction and transformation tasks.
- SQL is used mainly for schema design and reporting.
- Beginners can learn SQL in parallel to strengthen understanding.
- This course combines modeling, ETL, and visualization in one pipeline.
- It shows how tools work together in real-world workflows.
- Tableau is applied directly to warehouse data models.
- Talend connects transformation logic with reporting dashboards.
- End-to-end learning is more valuable than tool-specific training.
- The course focuses on fundamentals and on-premise tools.
- Core modeling and ETL concepts are universal across platforms.
- Transitioning to Snowflake/BigQuery requires only minor adjustments.
- Skills in dimensional modeling and SCD apply equally in the cloud.
- Cloud-native courses can be taken afterward for specialization.
- Warehousing ensures clean, structured data for analytics.
- Data scientists rely on reliable pipelines for insights.
- Understanding schemas improves dataset preparation.
- Business analysts benefit from consistent reporting dashboards.
- It creates a strong foundation before applying machine learning.
- ETL Developer or Data Integration Specialist.
- BI Analyst or Reporting Consultant.
- Data Engineer working on pipelines and modeling.
- Data Architect for larger-scale solutions.
- Analytics Engineer bridging data and business teams.
