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Coursera

Build a Data Warehouse Using BigQuery

Starweaver via Coursera

Overview

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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. Designed for data analysts, data engineers, and business intelligence professionals, the course is also valuable for aspiring analysts seeking to strengthen SQL skills and gain experience with enterprise-scale data management. A basic understanding of SQL and core data concepts is recommended. By the end, you’ll be able to design scalable data warehouses, run complex queries, and extract actionable insights—enabling data-driven decision-making and improving business performance using the full capabilities of Google BigQuery.

Syllabus

  • Build a Data Warehouse Using BigQuery
    • 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.

Taught by

Caio Avelino

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