Build data warehouse using BigQuery.

Format:

Video

Contributor:

Starweaver, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Google BigQuery.

Data warehousing.

Physical Description:

1 online resource (1 video file (1 hr., 49 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2026.

Summary:

In this 1-hour course, Google BigQuery is used to create cloud data warehouses, manage datasets, and query data at scale. Learners gain practical experience with SQL, Python, ETL, partitioning, clustering, and governance basics. What I will be able to do after this course Create efficient data warehouses and tables Build ETL pipelines with Python Apply partitioning and clustering strategies Perform aggregate and window function queries Course Instructor Starweaver collaborates with a global network of expert educators to deliver engaging, practical learning experiences. Focused on empowering individuals and organizations, they equip learners with skills to navigate challenges in technology, business, and design. Who is it for? Designed for data analysts, data engineers, BI professionals, and aspiring analysts with basic SQL and core data knowledge who want BigQuery and ETL experience.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808347870

OCLC:

1596849412