BigQuery in Practice — Volume 1
From raw data to your first answer. A path for learning to read a table, write queries and reason about metrics.
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From raw data to your first answer. A path for learning to read a table, write queries and reason about metrics.
Combine different sources and build analyses that describe user behaviour, without losing sight of data quality.
Organise an analysis project that lasts: clear models, observable costs and repeatable checks.
Turn isolated queries into an orderly project. Learn to describe dependencies, models and checks.
Work on shared transformations, make changes reviewable and keep development separate from publication.
Design incremental pipelines and understand what happens when a flow fails or receives late data.
A complete exercise, from the business requirement to a table ready to be analysed.
Design events, identify triggers and prepare a verification checklist on a test site.
A reference structure for organising the sources, transformations and checks of an analytics project.
A demo path connecting event collection, SQL analysis and data modelling.
Unisex cotton T-shirt with Analytics Lab artwork. Demonstration physical product.
Ceramic mug for debugging sessions. Demonstration physical product.
THE NEXT STEP
Explore the demo resources and build your own method, one exercise at a time.