Ep-14 Exploring NCAA Data with BigQuery | GSP160
Ayi Sumarna
Pada video kali ini Ayi Sumarna menyajikan video Episode 14 dari sebuah Serial VideoLog Pembelajaran Mandiri di Bangkit Academy 2023. Judul Materi VideoLog Episode kali ini adalah Exploring NCAA Data with BigQuery | GSP160.
Google Cloud self-paced labs : GSP160 https://www.cloudskillsboost.google/catalog_lab/815
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.
Video dokumentasi seadanya, disela-sela padatnyajadwal pembelajaran di Program Magang dan Studi Independen Bersertifikat (MSIB) Kampus Merdeka, dalam hal ini Bangkit Academy 2023 by Google, GoTo, Traveloka - Cloud Computing Learning Path.
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