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Renzo Richle

회원 가입일: 2022

브론즈 리그

5995포인트
Serverless Data Processing with Dataflow: Foundations Earned 4월 18, 2024 EDT
Google Cloud로 데이터 레이크 및 데이터 웨어하우스 현대화하기 Earned 4월 17, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals - 한국어 Earned 4월 11, 2024 EDT
Scaling with Google Cloud Operations Earned 12월 12, 2022 EST
Modernize Infrastructure and Applications with Google Cloud Earned 12월 12, 2022 EST
Exploring Data Transformation with Google Cloud Earned 12월 6, 2022 EST
Digital Transformation with Google Cloud Earned 12월 6, 2022 EST

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 framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.

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데이터 파이프라인의 두 가지 주요 구성요소는 데이터 레이크와 웨어하우스입니다. 이 과정에서는 스토리지 유형별 사용 사례를 살펴보고 Google Cloud에서 사용 가능한 데이터 레이크 및 웨어하우스 솔루션을 기술적으로 자세히 설명합니다. 또한 데이터 엔지니어의 역할, 성공적인 데이터 파이프라인이 비즈니스 운영에 가져오는 이점, 클라우드 환경에서 데이터 엔지니어링을 수행해야 하는 이유도 알아봅니다. 'Google Cloud의 데이터 엔지니어링' 시리즈의 첫 번째 과정입니다. 이 과정을 완료한 후 'Google Cloud에서 일괄 데이터 파이프라인 빌드하기' 과정에 등록하세요.

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이 과정에서는 데이터-AI 수명 주기를 지원하는 Google Cloud 빅데이터 및 머신러닝 제품과 서비스를 소개합니다. Google Cloud에서 Vertex AI를 사용하여 빅데이터 파이프라인 및 머신러닝 모델을 빌드하는 프로세스, 문제점 및 이점을 살펴봅니다.

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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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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 Cloud can make data useful and accessible. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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There's much excitement about cloud technology and digital transformation, but often many unanswered questions. For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin? If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.

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