Build Data Warehouse Using BigQuery

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.

Caio Avelino

Data Science | core | 1 hour 30 minutes | Published: Oct 2023

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Overview

1.1KSTUDENTS^*

96.5%RECOMMEND^*

This course includes:

1.5 hours of on-demand video 
Certificate of completion 
Direct access/chat with the instructor
100% self-paced online

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.

Skills You Will Gain

Analyzing data

Big Data

Big Data Technologies

Cloud/ML/AI/Big Data Science

Data Analysis and Interpretation

Data Science

Learning Outcomes (At The End Of This Program, You Will Be Able To...)

Understand and Navigate BigQuery: Learn the ins and outs of BigQuery’s interface, set up your environment, and access datasets with ease.
Learn the Principles of Creating Data Warehouses: Create and organize datasets, define tables, and utilize partitioning and clustering for efficient data storage.

Perform ETL with Python: Build dynamic ETL pipelines using Python, replace and append tables, and configure schema, partitioning, and clustering.
Comprehend Essential Query Techniques: Understand querying with SQL, exploring aggregate and window functions, and understanding data security and governance.

Prerequisites

To build a data warehouse with BigQuery, you’ll need to have a strong understanding of data warehousing concepts and some specific prerequisites.

Basic SQL Knowledge
Data Sources
Schema Design
Performance Optimization
Security and Permissions

Who Should Attend

The target audience for a course on building a data warehouse using BigQuery would typically include individuals with varying levels of experience and expertise in data management, analytics, and cloud computing.

Data Analysts
Data Engineers
Business Intelligence (BI) Professionals
Data Scientists
Database Administrators
IT Professionals
Cloud Architects
Business Managers and Decision-Makers
Students and Aspiring Data Professionals
Data Enthusiasts

Curriculum

Instructors

^*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.