This course provides a practical, hands-on introduction to Google BigQuery for building efficient data warehouses and performing advanced queries. You’ll learn how to set up and access BigQuery, create data warehouses using both the web interface and Python, and apply optimization techniques to manage and analyze large datasets in the cloud.
Build a Data Warehouse Using BigQuery
Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
5 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Create efficient data warehouses and tables using Google BigQuery's UI and SQL.
Build dynamic ETL pipelines with Python, incorporating partitioning and clustering strategies.
Perform advanced queries, including aggregate and window functions, for insightful data analysis.
Skills you'll gain
Details to know
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Taught in English
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There is 1 module in this course
Unlock the power of Google BigQuery as you embark on a journey to understand the basic data warehouse builder and query expert. In this comprehensive course, you'll learn to harness the capabilities of BigQuery, from setting up and accessing the platform to creating data warehouses using both UI and Python. Through hands-on lessons and practical applications, you'll develop the basic skills needed to manage, query, and optimize your data in this powerful cloud-based platform.
What's included
24 videos6 readings6 assignments
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