Build Data Lakes and Warehouses on Google Cloud

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.

Google Data Lakes and Warehouses Delivery Methods

• In-Person

• Online

• Upskill your whole team by bringing Private Team Training to your facility.

Google Data Lakes and Warehouses Course Information

Important Course Information:

• 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
• Identify various data sources that BigQuery can query
• Recognize the capabilities of using BigQuery to create and access AI models

Prerequisites:

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.