What you will learn in Data Warehouse Fundamentals for Beginners Course
Learners will gain an understanding of data warehousing concepts, architecture, and how they support business intelligence efforts.
The course covers the various types of data models, such as star schema and snowflake schema, and explains their use in organizing and structuring data.
Students will explore the ETL (Extract, Transform, Load) process and understand how data is extracted from various sources, transformed into usable formats, and loaded into a data warehouse.
- Learners will also understand the importance of data cleaning and data quality in ensuring accurate reporting and analysis.
- The course provides an overview of key tools used in data warehousing, including relational databases and data management platforms.
Program Overview
Introduction to Data Warehousing
⏳ 2-4 weeks
- Understand the core concepts of data warehousing and why it’s essential for business intelligence.
- Learn about data warehouse architecture, including its components such as staging, data modeling, and reporting layers.
- Explore the differences between transactional databases and data warehouses.
Data Modeling & Schemas
⏳ 4-6 weeks
- Learn about the star schema and snowflake schema, and how they are used to structure data for analytical purposes.
- Understand how to design and optimize data models to improve query performance.
- Explore the relationships between different data elements and their impact on the data model.
ETL Process: Extract, Transform, Load
⏳ 4-6 weeks
- Gain a deep understanding of the ETL process, including how data is extracted from source systems, transformed into usable formats, and loaded into the data warehouse.
- Learn how to automate and optimize ETL pipelines to ensure timely and accurate data updates.
- Understand the importance of data cleansing in the ETL process to improve the quality of the data being loaded.
Data Quality & Management
⏳ 4-6 weeks
Learn the best practices for ensuring data quality and consistency within a data warehouse.
Explore the tools and techniques used for data cleansing, deduplication, and validation.
Understand how to handle missing or incomplete data to maintain high-quality datasets.
Using Data Warehouses for Business Intelligence
⏳ 6-8 weeks
- Understand how data warehousing supports business intelligence and reporting needs.
- Explore the integration of data warehouses with BI tools like Power BI, Tableau, and Excel for reporting and data analysis.
- Learn how to create dashboards and reports that visualize key business metrics and trends.
Final Project: Building a Simple Data Warehouse
⏳ 6-8 weeks
Apply the concepts learned throughout the course to design a simple data warehouse.
Implement the ETL process to load data into your warehouse, perform data cleansing, and use BI tools for analysis and reporting.
Present your findings and data visualizations based on the project.
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Job Outlook
- The demand for data warehousing professionals is projected to grow by 9% by 2030 (U.S. Bureau of Labor Statistics).
- Data warehouse architects, analysts, and developers can expect starting salaries ranging from $60K to $90K, with experienced professionals earning $100K+.
- Expertise in data warehousing and business intelligence tools is highly valued in industries such as finance, healthcare, and retail.
Specification: Data Warehouse Fundamentals for Beginners
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