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.

  • 배지
  • 형식
  • 언어

결과 350개

  1. 과정 추천

    Analyzing and Visualizing Data in Looker

    In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Lo…

  2. 과정 추천

    Perform Predictive Data Analysis in BigQuery

    Earn the intermediate skill badge by completing the Perform Predictive Data Analysis in BigQuery course, where you will gain practical experience on the fundamentals of sports data science using BigQuery, including how to create a soccer dataset in BigQuery by importing CSV and JSON files; harness the power of Big…

  3. 실습 추천

    Tag and Discover BigLake Data: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Tag and Discover BigLake Data course. You should be familiar with the content of labs before attempting this lab.

  4. 실습 추천

    Manage Data Models in Looker: Challenge Lab

    In this lab, you test your skills related to managing data models in Looker. You are expected to use best practices to support LookML project health and optimize queries for performance.

  5. 실습 추천

    Store, Process, and Manage Data on Google Cloud - Command Line: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Store, Process, and Manage Data on Google Cloud - Command Line quest. You should be familiar with the content of labs before attempting this lab.

  6. 과정 추천

    Serverless Data Processing with Dataflow: Operations

    In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We…

  7. 실습 추천

    Analyze BigQuery data in Connected Sheets: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Analyze BigQuery data in Connected Sheets quest. You should be familiar with the content of labs before attempting this lab.

  8. 과정 추천

    Serverless Data Processing with Dataflow: Foundations

    This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability fram…

  9. 실습 추천

    Cloud Dataprep을 사용하여 데이터 변환 파이프라인 만들기

    Cloud Dataprep by Alteryx는 정형 및 비정형 데이터를 시각적으로 탐색하고 정리하여 분석을 준비하는 지능형 데이터 서비스입니다. 이 실습에서는 데이터 변환 파이프라인 빌드를 위해 Dataprep 사용자 인터페이스(UI)를 살펴봅니다.

  10. 실습 추천

    Create a Streaming Data Lake on Cloud Storage: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Create a Streaming Data Lake on Cloud Storage quest. You should be familiar with the content of labs before attempting this lab.