Working with JSON, Arrays, and Structs in BigQuery v1.5
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.
Objectives
In this lab you learn how to:
Ingest JSON datasets.
Create ARRAYs and STRUCTs.
Unnest semi-structured data for insights.
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