DataCampBuild Data Lakes and Data Warehouses on Google Cloud
4.9(15)79 studentsINTERMEDIATEEnglish
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Modernizing Data Architecture
Traditional data silos often struggle to scale within large enterprise environments. This intermediate-level course explores the evolution of data storage by introducing the data lakehouse concept.
Key Learning Focus
Instead of choosing between a data lake or a data warehouse, you will learn how to leverage Google Cloud products to build a unified architecture. By utilizing open-standard data sources, a lakehouse combines the strengths of both traditional methods to overcome common structural shortcomings. This is an essential deep dive for data engineers looking to implement more efficient, integrated storage solutions on Google Cloud.
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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SubscriptionIncluded with a DataCamp subscription
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