Overview
Whether you’re an aspiring data engineer, data architect, business analyst, or data scientist, strong data warehousing skills are essential. Through this course on Coursera, you will acquire the hands-on experience and competencies needed to make your resume stand out and advance your career opportunities.
A data warehouse centralizes and organizes data from various sources into a single repository, facilitating efficient data access, cleaning, and analysis for data professionals. This comprehensive course covers designing, deploying, loading, managing, and querying data warehouses, data marts, and data lakes.
You’ll learn to design, model, and implement data warehouses, exploring data warehousing architectures like star and snowflake schemas. Master techniques for populating data warehouses through ETL and ELT processes, and enhance your skills in verifying and querying data, leveraging concepts like cubes, rollups, and materialized views/tables.
The course includes practical, hands-on labs that allow you to apply your knowledge to real data warehousing tasks. You’ll work with repositories such as PostgreSQL and IBM Db2 and complete a project that can be highlighted in interviews.
University: Coursera
Categories: Data Warehousing Courses, Data Lakes Courses
