Scale Data Warehouses Cost-Effectively

Overview

Did you know that organizations can reduce their data warehousing costs by up to 60% while improving performance through strategic architecture decisions and lifecycle management? This Short Course was created to help data engineers and architects accomplish cost-effective scaling of enterprise data warehouses. By completing this course, you'll be able to build automated SCD pipelines that preserve critical historical data, conduct sophisticated cost analysis to optimize storage strategies, and design multi-cluster architectures that eliminate resource contention while controlling expenses. By the end of this course, you will be able to: - Apply techniques to implement data pipelines for managing historical data changes - Analyze storage and compute cost trends to propose data archiving strategies - Create a multi-cluster data warehouse architecture to isolate distinct workloads This course is unique because it combines hands-on technical implementation with financial optimization strategies, giving you both the SQL expertise and business acumen to scale warehouses intelligently. To be successful in this project, you should have a background in SQL, data warehousing concepts, and cloud computing fundamentals.

Syllabus

Module 1: Implement Data Pipelines for Historical Changes

Learners will build automated SCD Type 2 pipelines using MERGE statements and window functions to preserve historical data integrity in enterprise environments.

Module 2: Analyze Storage and Compute Cost Trends

Learners will conduct comprehensive cost analysis of data lifecycle patterns to develop strategic archiving recommendations that balance storage economics with business value.

Module 3: Create Multi-Cluster Warehouse Architecture

Learners will design scalable multi-cluster data warehouse architectures that isolate workloads for optimal performance while implementing comprehensive cost control and resource management policies.