Exploring NCAA Data with BigQuery
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
Query the NCAA Public Dataset
Writing and executing queries
What you'll need
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- 获取对“Google Cloud Console”的临时访问权限。
- 200 多项实验，从入门级实验到高级实验，应有尽有。