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Starts 7 June 2025 18:11
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Modern Data Warehouse Systems: BigQuery, Snowflake, Redshift, Databricks, and DuckDB - Lecture 25
Explore modern data warehouse architectures and cloud-native databases, comparing BigQuery, Snowflake, Redshift, Databricks, and DuckDB's unique features and use cases for data analytics.
CMU Database Group
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CMU Database Group
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Overview
Explore modern data warehouse architectures and cloud-native databases, comparing BigQuery, Snowflake, Redshift, Databricks, and DuckDB's unique features and use cases for data analytics.
Syllabus
- Introduction to Modern Data Warehouse Systems
- BigQuery
- Snowflake
- Redshift
- Databricks
- DuckDB
- Comparing Data Warehousing Solutions
- Use Cases and Case Studies
- Conclusion
Overview of Data Warehousing Concepts
Importance in Data Analytics
Architecture and Key Features
Use Cases and Best Practices
Pricing and Performance Considerations
Architecture and Key Features
Unique Data Sharing Capabilities
Pricing and Performance Considerations
Architecture and Key Features
Integration with Amazon's Ecosystem
Pricing and Performance Considerations
Architecture and Key Features
Strengths in Machine Learning and Data Science
Pricing and Performance Considerations
Architecture and Key Features
In-memory Analytics and Use Cases
Integration with Jupyter Notebooks
Performance and Scalability
Cost Analysis
Security and Compliance Features
Industry-specific Applications
Real-world Success Stories
Key Takeaways and Future Trends in Data Warehousing
Subjects
Business
