Data Warehousing
Design and build a data warehouse with dbt, Snowflake, or BigQuery.
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After this skill you can…
- Model a star schema with dbt
- Optimise BigQuery queries with partitioning and clustering
- Implement data quality tests in dbt
Prerequisites
Watch (10 videos)
Introducing Lakehouse//RT and Reyden — Reynold Xin, Co–founder and Chief Architect
→ Design a Lakehouse architecture→ Implement real-time analytics on governed data
Query S3 Data with SQL: Amazon Athena and AWS Glue Tutorial
→ Design a data warehouse on Amazon S3→ Use AWS Glue for data integration
Data Warehouse vs. Database: Which One Do You Need?
→ Build data warehouses→ Optimize data storage→ Analyze data trends
Data Lake or Data Swamp?
→ Design Data Warehouses→ Implement Data Lakes→ Integrate Analytics Tools
Why AI GPU Servers Must Be Packed Into Dense Racks
→ Manage data center infrastructure→ Implement efficient data storage solutions
Building reliable ETL pipelines with built-in observability - Data Engineering with Databricks
→ Design data warehouses→ Implement data governance
Introducing Lakebridge: Free, Open Data Migration to Databricks SQL
→ Design data warehouse architectures→ Implement data migration strategies
How to Build an Open Lakehouse: Best Practices for Interoperability
→ Design a data lakehouse→ Implement cross-platform data access→ Unify data governance
Welcome Lakehouse, from a DWH transformation to a M&A data sharing
→ Transform data warehouse to cloud→ Implement data sharing between companies
Hybrid Lakehouses with Unity Governance, Local Execution and Egress Control
→ Design Hybrid Lakehouses→ Implement Unity Governance→ Optimize Local Execution
Read (10 articles)
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