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Working with JSON, Arrays, and Structs in BigQuery

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Working with JSON, Arrays, and Structs in BigQuery

시간 분 5 크레딧

GSP416

Google Cloud Self-Paced Labs

Overview

BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

This lab is an in-depth walkthrough of working with semi-structured data (ingesting JSON, Array data types) inside of BigQuery. Denormalizing your schema into a single table with nested and repeated fields can yield performance improvements, but the SQL syntax for working with array data can be tricky. You will practice loading, querying, troubleshooting, and unnesting various semi-structured datasets.

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GSP416OverviewSetup and RequirementsCreate a new dataset to store our tablesPractice working with Arrays in SQLCreating your own arrays with ARRAY_AGG()Querying datasets that already have ARRAYsIntroduction to STRUCTsPractice with STRUCTs and ARRAYsLab Question: STRUCT()Lab Question: Unpacking ARRAYs with UNNEST( )Filtering within ARRAY valuesCongratulations!