Data Warehousing with SQL
( 20 Modules )

Module #1
Introduction to Data Warehousing
Overview of data warehousing, its importance, and benefits

Module #2
Data Warehousing Concepts
Understanding data warehousing concepts, such as OLAP, OLTP, and data mining

Module #3
Data Warehousing Architecture
Introduction to data warehousing architecture, including hub-and-spoke and bus architecture

Module #4
SQL Fundamentals for Data Warehousing
Review of SQL basics, including SELECT statements, joins, and subqueries

Module #5
Data Modeling for Data Warehousing
Introduction to data modeling concepts, including dimensional modeling and star/snowflake schema

Module #6
ETL (Extract, Transform, Load) Fundamentals
Introduction to ETL, including data extraction, transformation, and loading

Module #7
ETL Tools and Technologies
Overview of popular ETL tools, including Informatica, Talend, and Microsoft SSIS

Module #8
Data Warehouse Design
Designing a data warehouse, including data mart design and aggregate table design

Module #9
Data Warehousing in Practice
Real-world examples of data warehousing implementations, including case studies

Module #10
SQL for Data Warehousing
Advanced SQL techniques for data warehousing, including window functions and Common Table Expressions

Module #11
Data Visualization for Data Warehousing
Introduction to data visualization, including popular tools and best practices

Module #12
Data Warehousing Performance Tuning
Optimizing data warehouse performance, including indexing and query optimization

Module #13
Data Quality and Data Governance
Importance of data quality and data governance in data warehousing

Module #14
Security and Access Control in Data Warehousing
Securing data warehouses, including access control and encryption

Module #15
Big Data and Data Warehousing
Integration of big data with data warehousing, including Hadoop and NoSQL databases

Module #16
Cloud Data Warehousing
Data warehousing in the cloud, including Amazon Redshift and Google BigQuery

Module #17
Data Warehousing Best Practices
Best practices for data warehousing, including design, development, and maintenance

Module #18
Hands-on Exercises and Project Development
Hands-on exercises and project development using data warehousing concepts and tools

Module #19
Case Studies and Group Discussions
Real-world case studies and group discussions on data warehousing implementations

Module #20
Course Wrap-Up & Conclusion
Planning next steps in Data Warehousing with SQL career

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Data Warehousing with SQL ( 20 Modules )

Data Warehousing with SQL
( 20 Modules )