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Exploring NCAA Data with BigQuery

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Writing queries

Exploring NCAA Data with BigQuery

45 minuti 5 crediti

GSP160

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 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

  • Using BigQuery

  • Query the NCAA Public Dataset

  • Writing and executing queries

What you'll need

Crea un account Qwiklabs per leggere il resto del lab e tanto altro ancora.

  • Acquisisci accesso temporaneo a Google Cloud Console.
  • Oltre 200 lab dal livello iniziale a quelli più avanzati.
  • Corsi brevi per apprendere secondo i tuoi ritmi.
Crea un account per iniziare questo lab