원하는 방식의 Google Cloud 교육을 살펴보세요.
Google Cloud에서 개발자를 대상으로 한 980개 이상의 학습 활동을 선택할 수 있는 포괄적인 카탈로그를 설계했습니다. 이 카탈로그는 개발자가 선택할 수 있는 다양한 활동 형식으로 구성되어 있습니다. 짧은 분량의 개별 실습 또는 동영상, 문서, 실습, 퀴즈로 구성된 멀티 모듈 과정 중에서 선택하세요. 실습에서는 실제 클라우드 리소스에 대한 임시 사용자 인증 정보를 제공하므로 실제 리소스를 사용하여 Google Cloud를 알아볼 수 있습니다. 이수한 과정의 배지를 획득하고 Google Cloud 성과를 정의, 추적, 측정하세요.
결과 164개
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실습 추천 BigQuery Soccer Data Ingestion
Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables.
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실습 추천 BigQuery Soccer Data Analysis
Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables.
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실습 추천 Data Publishing on BigQuery using Authorized Views for Data Sharing Partners
In this lab you will learn how Authorized Views in BigQuery can be used to share customer specific data from a Data Sharing Partner.
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실습 추천 Manage a partitioned table in BigQuery
Manage a partitioned table and use filters to reduce data examined in BigQuery
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실습 추천 Explore flat and nested data types in BigQuery
Explore flat and nested data types in BigQuery and learn how to use these data types effectively in queries
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과정 추천 BigQuery Basics for Data Analysts
Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query teraby…
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과정 추천 Analyze BigQuery Data in Connected Sheets
With Connected Sheets, you can access, analyze, visualize, and share billions of rows of BigQuery data from your Google Sheets spreadsheet. In this skill badge you will learn how use Google Sheets, BigQuery, and bring it all together with Connected Sheets.
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실습 추천 Perform Predictive Data Analysis in BigQuery: Challenge Lab
This challenge lab tests the skills and knowledge gained from the labs in the Perform Predictive Data Analysis in BigQuery skill badge course.
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실습 추천 Exploring NCAA Data with BigQuery
Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.