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Checkpoints
Writing queries
Query 1
Query 2
Query 3
Query 4
Exploring NCAA Data with BigQuery
GSP160
Overview
BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without managing infrastructure or needing a database administrator. BigQuery uses SQL and takes advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
We have a newly available dataset for NCAA Basketball games, teams, and players. The game data covers play-by-play and box scores back to 2009, as well as final scores back to 1996. Additional data about wins and losses goes back to the 1894-5 season in some teams' cases.
In this lab we will find and query the NCAA dataset using BigQuery.
What you'll learn
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Using BigQuery
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Query the NCAA Public Dataset
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Writing and executing queries
What you'll need
Inscrivez-vous sur Qwiklabs pour consulter le reste de cet atelier, et bien plus encore.
- Obtenez un accès temporaire à Google Cloud Console.
- Plus de 200 ateliers, du niveau débutant jusqu'au niveau expert.
- Fractionné pour vous permettre d'apprendre à votre rythme.