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Exploring NCAA Data with BigQuery

Exploring NCAA Data with BigQuery

45 minutos 5 créditos

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

  • A Google Cloud Platform Project

  • A Browser, such Chrome or Firefox

Participe do Qwiklabs para ler o restante deste laboratório e muito mais!

  • Receber acesso temporário a Console do Google Cloud.
  • Mais de 200 laboratórios, do nível iniciante ao avançado.
  • Tamanho compacto para que você possa aprender no seu próprio ritmo.
Participe para iniciar este laboratório
Pontuação

—/100

Writing queries

Executar etapa

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Query 1

Executar etapa

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Query 2

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Query 3

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Query 4

Executar etapa

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