Build a Data Warehouse Using BigQuery

Instructors: Caio Avelino +1 more

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

  •   Data Management
  •   Business Intelligence
  •   Data Transformation
  •   Data Security
  •   Data Infrastructure
  •   Pandas (Python Package)
  •   Data Architecture
  •   Extract, Transform, Load
  •   Database Management
  •   Google Cloud Platform
  •   Data Warehousing
  •   Data Governance
  •   SQL
  • There is 1 module in this course

    This course is designed for data analysts, data engineers, business intelligence professionals, and anyone interested in mastering the art of building efficient data warehouses and performing advanced data queries using Google BigQuery. Learners should have a basic understanding of SQL and familiarity with data concepts. This course aims to give learners a comprehensive understanding of Google BigQuery, empowering them to create efficient data warehouses, perform queries, and make informed data-driven decisions. Whether you're a data professional or an aspiring analyst, this course will equip you with the tools and knowledge to unlock the full potential of BigQuery for improved business performance.

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