Scale Data Warehouses Cost-Effectively

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Scale Data Warehouses Cost-Effectively

This course is part of Performance Engineering for Data Systems Specialization

Instructor: Hurix Digital

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Slowly Changing Dimensions maintain historical data integrity and enable accurate, time-based enterprise analysis.
Analyzing data lifecycles balances storage costs with business value, guiding efficient archiving and retention.
Multi-cluster architectures isolate workloads, prevent contention, and enable cost control and performance optimization.
Sustainable scaling requires governance, automated resource management, and continuous monitoring of performance and cost.

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This course is part of the Performance Engineering for Data Systems Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Develop job-relevant skills with hands-on projects
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There are 3 modules in this course

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.

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

What's included

2 videos2 assignments

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

What's included

2 videos1 reading2 assignments

2 videos Total 18 minutes

Cost Trend Analysis Techniques for Data Archiving 8 minutes
Calculating Storage Costs and ROI for Archiving Strategies 9 minutes

1 reading Total 10 minutes

Data Lifecycle Cost Analysis and Storage Economics 10 minutes

2 assignments Total 21 minutes

Develop Comprehensive Data Archiving Strategy with Cost-Benefit Analysis 18 minutes
Cost Analysis and Archiving Strategy Knowledge Check 3 minutes

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

What's included

2 videos1 reading2 assignments

2 videos Total 9 minutes

The Business Case for Multi-Cluster Architecture 3 minutes
Designing Workload Isolation and Resource Management Policies 6 minutes

1 reading Total 10 minutes

Multi-Cluster Architecture Design Principles and Implementation Patterns 10 minutes

2 assignments Total 18 minutes

Multi-Cluster Architecture Knowledge Check 3 minutes
Multi-Cluster Architecture Mastery Assessment 15 minutes

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Instructor

Hurix Digital

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