Master Introduction to Data Warehousing in 4 weeks through hands-on, project-based online training with DSTC.
Data Science & Analytics
Module-by-module breakdown of Introduction to Data Warehousing, from foundations to a certified capstone project.
Outline
What is Data Warehousing? โข Difference Between Databases and Data Warehouses โข Importance of Centralized Data Storage โข Applications of Data Warehousing
Outline
Structured and Transactional Data โข Data Collection from Multiple Systems โข Introduction to Data Integration โข Importance of Data Quality and Consistency
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Data Storage and Organization Basics โข ETL Concepts: Extract, Transform, Load โข Introduction to Data Models โข Understanding Reporting and Query Systems
Outline
Business Reporting and Analytics โข Decision Support Systems โข Data Warehousing in Finance, Healthcare, and Retail โข Role in Business Intelligence
Outline
Cloud-Based Data Warehousing Basics โข Data Warehousing and Big Data โข Career Opportunities in Data Engineering and Analytics โข Mini Learning Activity / Concept-Based Practice
e-Certificate and e-Marksheet issued on successful completion.