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Build Data Lakes and Data Warehouses on Google Cloud
4.9(15)79 studentsINTERMEDIATEEnglish
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Course Overview
This intermediate course explores modern data lakehouse architectures on Google Cloud Platform, explaining how combining open data lakes with data warehouses overcomes enterprise storage limitations.
Who Should Take This Course
Targeted at cloud data engineers, architects, and enterprise IT professionals modernizing legacy data warehouse infrastructure on GCP.
Key Takeaways
- Understand the architectural advantages of data lakehouses over traditional data lakes and warehouses.
- Evaluate Google Cloud services used to implement open-standard lakehouse solutions.
- Design scalable data architectures for enterprise storage and analytics needs.
About this course
While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
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