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Checkpoints
Writing queries
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Query 1
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Query 2
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Query 3
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Query 4
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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
Únase a Qwiklabs para leer este lab completo… y mucho más.
- Obtenga acceso temporal a Google Cloud Console.
- Más de 200 labs para principiantes y niveles avanzados.
- El contenido se presenta de a poco para que pueda aprender a su propio ritmo.