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Build Data Warehouses with Google BigQuery

Master BigQuery for data warehouse development. Learn ETL pipelines, advanced querying, and optimization techniques.

Master BigQuery for data warehouse development. Learn ETL pipelines, advanced querying, and optimization techniques.

This comprehensive course teaches data professionals how to harness Google BigQuery's powerful capabilities for data warehouse development. Students learn to create efficient data structures, implement ETL pipelines using Python, and perform advanced queries. The curriculum covers essential topics from platform setup to advanced features like partitioning, clustering, and custom transformations, preparing learners for real-world data engineering challenges.

Instructors:

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Build Data Warehouses with Google BigQuery

This course includes

8 Hours

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Create efficient data warehouses using BigQuery UI and SQL

  • Build dynamic ETL pipelines with Python

  • Implement partitioning and clustering strategies

  • Perform advanced queries with aggregate functions

  • Master data security and governance practices

  • Optimize warehouse performance and cost efficiency

Skills you'll gain

BigQuery
data warehouse
ETL
Python
SQL
data modeling
cloud computing
data optimization
data governance

This course includes:

111 Minutes PreRecorded video

6 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There is 1 module in this course

This comprehensive course focuses on building and managing data warehouses using Google BigQuery. The curriculum covers essential concepts including platform setup, data organization, and advanced querying techniques. Students learn both UI-based and programmatic approaches using Python, including ETL pipeline development, data partitioning, and clustering strategies. The course emphasizes practical applications and best practices for data security and governance.

Build a Data Warehouse Using BigQuery

Module 1 · 8 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Caio Avelino
Caio Avelino

1,819 Students

6 Courses

Data Science Expert and Business Intelligence Innovator

Caio Avelino brings extensive expertise in Data Science, Business Intelligence, and Artificial Intelligence, combining academic excellence with practical industry experience. His educational background includes a degree in Electrical Engineering from Unicamp, international experience at Monash University in Melbourne, and specialized training in Data Science from Data Science Academy. As an instructor and professional, he specializes in complex analytics, dashboard development, and Machine Learning model creation. His teaching portfolio includes courses in Big Data Technologies, Data Warehousing, Business Intelligence, and Advanced Statistical Analysis using Seaborn. His approach emphasizes practical problem-solving and continuous learning, particularly in startup environments where he has contributed to developing innovative data solutions. His passion for knowledge sharing is evident through his training programs, helping colleagues and students master data science concepts. Currently pursuing further studies in Artificial Intelligence, he maintains a commitment to staying at the forefront of technological advancement while making complex technical concepts accessible to learners.

Build Data Warehouses with Google BigQuery

This course includes

8 Hours

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.