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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.

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결과 349개

  1. 실습 추천

    데이터 조인 문제 해결

    이 실습에서는 여러 데이터 테이블 사이의 관계를 탐색하고 테이블을 조인할 때 피해야 할 문제에 대해 살펴봅니다.

  2. 실습 추천

    Big Data Analysis to a Slide Presentation

    This lab leverages two Google developer platforms: G Suite and Google Cloud Platform (GCP). It uses GCP's BigQuery API, Sheets, and Slides to collect, analyze and present data.

  3. 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.

  4. 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…

  5. 과정 추천

    Exploring Data Transformation with Google Cloud

    Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google C…

  6. 실습 추천

    Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors

    In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.

  7. 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…

  8. 실습 추천

    Redacting Sensitive Data with Cloud Data Loss Prevention

    In this lab, you inspect strings and files for sensitive data and then practice using the Cloud Data Loss Prevention (DLP) API to protect data.

  9. 실습 추천

    Serverless Data Processing with Dataflow - Advanced Streaming Analytics Pipeline with Cloud Dataflow (Java)

    In this lab you read deal with late and malformed streaming data using advanced Apache Beam concepts.

  10. 실습 추천

    Connect and Configure Data for your AppSheet App

    In this lab, you use AppSheet to connect and configure data for your app.