Build Data Lakes and Data Warehouses on Google Cloud
Build Data Lakes and Data Warehouses on Google Cloud
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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.
课程信息
目标
- Differentiate between a data lake, data warehouse, data lakehouse
- Explain the data lakehouse concept and how it addresses the limitations of traditional data lakes and data warehouses
- Identifying various data sources that BigQuery can query
- Recognize the capabilities of using BigQuery to create and access AI models
前提条件
To benefit from this course participants should have familiarity, training, or experience with the principles and activities associated with data engineering, data warehouse or data lake architecture, SQL query language, or data management principles.
受众
Data Engineer, Data Analyst, Database Administrators, Big Data Architects
支持的语言
English, 日本語, español (Latinoamérica), français, português (Brasil), italiano, and 한국어
学完本课程后，我可以做些什么？
学完本课程后，您可以探索学习路线 中的其他内容或浏览学习目录
我能获得什么徽章？
学完一门课程后，您将获得结业徽章。徽章可在个人资料中供查看，还可在社交网络上分享。
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