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Jitendra Gupta

회원 가입일: 2021

브론즈 리그

1400포인트
Enterprise Database Migration 배지 Enterprise Database Migration Earned 12월 17, 2022 EST
Planning for a Google Workspace Deployment 배지 Planning for a Google Workspace Deployment Earned 11월 9, 2022 EST
Google Workspace Mail Management 배지 Google Workspace Mail Management Earned 11월 9, 2022 EST
Google Workspace Security 배지 Google Workspace Security Earned 11월 7, 2022 EST
Introduction to Google Workspace Administration 배지 Introduction to Google Workspace Administration Earned 11월 6, 2022 EST
Managing Google Workspace 배지 Managing Google Workspace Earned 11월 5, 2022 EDT
Google Sheets - Advanced Topics 배지 Google Sheets - Advanced Topics Earned 11월 3, 2022 EDT
Google Meet 배지 Google Meet Earned 11월 3, 2022 EDT
Google Slides 배지 Google Slides Earned 11월 2, 2022 EDT
Google Sheets 배지 Google Sheets Earned 11월 2, 2022 EDT
Google Docs 배지 Google Docs Earned 11월 2, 2022 EDT
Google Drive 배지 Google Drive Earned 11월 1, 2022 EDT
Google Calendar 배지 Google Calendar Earned 10월 21, 2022 EDT
Gmail 배지 Gmail Earned 10월 7, 2022 EDT
Migration Summit 2022 배지 Migration Summit 2022 Earned 9월 18, 2022 EDT
Managing Security in Google Cloud 배지 Managing Security in Google Cloud Earned 9월 5, 2022 EDT
Mitigating Security Vulnerabilities on Google Cloud 배지 Mitigating Security Vulnerabilities on Google Cloud Earned 8월 23, 2022 EDT
Security Best Practices in Google Cloud 배지 Security Best Practices in Google Cloud Earned 8월 18, 2022 EDT
Certification Learning Path: Professional Cloud Network Engineer 배지 Certification Learning Path: Professional Cloud Network Engineer Earned 7월 18, 2022 EDT
Networking in Google Cloud: Hybrid Connectivity and Network Management 배지 Networking in Google Cloud: Hybrid Connectivity and Network Management Earned 5월 24, 2022 EDT
Networking in Google Cloud: Defining and Implementing Networks 배지 Networking in Google Cloud: Defining and Implementing Networks Earned 5월 23, 2022 EDT
Preparing for Your Professional Cloud Network Engineer Journey 배지 Preparing for Your Professional Cloud Network Engineer Journey Earned 5월 20, 2022 EDT
Developing a Google SRE Culture 배지 Developing a Google SRE Culture Earned 4월 22, 2022 EDT
Certification Learning Path: Professional Cloud DevOps Engineer 배지 Certification Learning Path: Professional Cloud DevOps Engineer Earned 4월 4, 2022 EDT
Application Development with Cloud Run 배지 Application Development with Cloud Run Earned 3월 30, 2022 EDT
App Deployment, Debugging, and Performance 배지 App Deployment, Debugging, and Performance Earned 3월 29, 2022 EDT
Securing and Integrating Components of your Application 배지 Securing and Integrating Components of your Application Earned 3월 28, 2022 EDT
Getting Started With Application Development 배지 Getting Started With Application Development Earned 3월 24, 2022 EDT
Getting Started with Google Kubernetes Engine - 한국어 배지 Getting Started with Google Kubernetes Engine - 한국어 Earned 3월 16, 2022 EDT
Google Cloud Fundamentals: Core Infrastructure - 한국어 배지 Google Cloud Fundamentals: Core Infrastructure - 한국어 Earned 3월 15, 2022 EDT
GCP Essentials 배지 GCP Essentials Earned 2월 28, 2022 EST
Serverless Data Processing with Dataflow: Foundations 배지 Serverless Data Processing with Dataflow: Foundations Earned 2월 27, 2022 EST
Smart Analytics, Machine Learning, and AI on Google Cloud 배지 Smart Analytics, Machine Learning, and AI on Google Cloud Earned 2월 27, 2022 EST
Building Resilient Streaming Analytics Systems on Google Cloud 배지 Building Resilient Streaming Analytics Systems on Google Cloud Earned 2월 27, 2022 EST
Modernizing Data Lakes and Data Warehouses with Google Cloud 배지 Modernizing Data Lakes and Data Warehouses with Google Cloud Earned 2월 22, 2022 EST
Google Cloud Big Data and Machine Learning Fundamentals - 한국어 배지 Google Cloud Big Data and Machine Learning Fundamentals - 한국어 Earned 2월 21, 2022 EST
Managing Cloud Infrastructure with Terraform 배지 Managing Cloud Infrastructure with Terraform Earned 8월 25, 2021 EDT
Intro to BigQuery: Analytics & Machine Learning 배지 Intro to BigQuery: Analytics & Machine Learning Earned 8월 10, 2021 EDT
Intro to Infrastructure 배지 Intro to Infrastructure Earned 5월 18, 2021 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation - Locales 배지 Elastic Google Cloud Infrastructure: Scaling and Automation - Locales Earned 5월 14, 2021 EDT
Essential Google Cloud Infrastructure: Foundation - 한국어 배지 Essential Google Cloud Infrastructure: Foundation - 한국어 Earned 5월 12, 2021 EDT

This course is intended to give architects, engineers, and developers the skills required to help enterprise customers architect, plan, execute, and test database migration projects. Through a combination of presentations, demos, and hands-on labs participants move databases to Google Cloud while taking advantage of various services. This course covers how to move on-premises, enterprise databases like SQL Server to Google Cloud (Compute Engine and Cloud SQL) and Oracle to Google Cloud bare metal.

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Planning for a Google Workspace Deployment is the final course in the Google Workspace Administration series. In this course, you will be introduced to Google's deployment methodology and best practices. You will follow Katelyn and Marcus as they plan for a Google Workspace deployment at Cymbal. They'll focus on the core technical project areas of provisioning, mail flow, data migration, and coexistence, and will consider the best deployment strategy for each area. You will also be introduced to the importance of Change Management in a Google Workspace deployment, ensuring that users make a smooth transition to Google Workspace and gain the benefits of work transformation through communications, support, and training. This course covers theoretical topics, and does not have any hands on exercises. If you haven’t already done so, please cancel your Google Workspace trial now to avoid any unwanted charges.

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Google Workspace Mail Management is the fourth course in the Google Workspace Administration series. In this course you will learn how to protect your organization against spam, spoofing, phishing and malware attacks. You will configure email compliance and learn how to implement data loss prevention (DLP) for your organization. You will gain an understanding of the mail routing options available and learn how to allowlist and block senders. You will also become familiar with other mail options such as inbound and outbound gateways, 3rd party email archiving, and journaling to Vault.

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Google Workspace Security is the third course in the Google Workspace Administration series. In this course you will focus on the various aspects of Google Workspace Security including user password policies and how to enable and enforce two step verification (2SV) for your users. You will learn about application security and understand how to whitelist and block API access to your account. You will see how Google Workspace can easily be integrated with a number of predefined 3rd party applications. You will also become familiar with the SSO options in Google Workspace. Finally you will understand how to spot potential security risks within your organization and learn how to address them using the tools available in the admin console.

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Introduction to Google Workspace Administration is the first course in the Google Workspace Administration series of courses. This series will serve as the starting place for any new Google Workspace admin as they begin their journey of managing and establishing Google Workspace best practices for their organization. These courses together will leave you feeling confident to utilize the basic functions of the admin console to manage users, control access to services, configure security settings, and much more. Through a series of readings and step-by-step hands-on exercises, and knowledge checks, learners can expect to leave this training with all of the skills they need to get started as Google Workspace administrators. In this course you will sign up for a Google Workspace account and configure your DNS records for Google Workspace. You will learn how to provision and manage your users, and will create groups and calendar resources for your organization. You will be introduced to …

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Managing Google Workspace is the second course in the Google Workspace Administration series. This course focuses on the Google Workspace core services such as Gmail, Calendar, and Drive & Docs. You will become familiar with the various service settings, and learn how to enable them for all or just a subset of your users. You will gain an understanding of Google Vault, Google’s ediscovery service. You will understand the various admin console reports that are available and be able to search and filter the information in these reports. Finally you will see how multiple domains can be used with Google Workspace and learn how to add a new domain to your account.

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This course builds on some of the concepts covered in the earlier Google Sheets course. In this course, you will learn how to apply and customize themes In Google Sheets, and explore conditional formatting options. You will learn about some of Google Sheets’ advanced formulas and functions. You will explore how to create formulas using functions, and you will also learn how to reference and validate your data in a Google Sheet. Spreadsheets can hold millions of numbers, formulas, and text. Making sense of all of that data can be difficult without a summary or visualization. This course explores the data visualization options in Google Sheets, such as charts and pivot tables. Google Forms are online surveys used to collect data and provide the opportunity for quick data analysis. You will explore how Forms and Sheets work together by connecting collected Form data to a spreadsheet, or by creating a Form from an existing spreadsheet.

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In this course, we introduce you to Google Meet, Google’s video conference software included with Google Workspace. You learn how to create and manage video conference meetings using Google Meet. You explore different ways to open Google Meet and add people to a video conference. You also learn how to join meetings from different sources like calendar events or meeting links. We discuss how Google Meet can help you better communicate, exchange ideas, and share resources with your team wherever they are. You learn how to customize the Google Meet environment to fit your needs and how to effectively use chat messages during a video conference. You also explore different ways to share resources, such as by using calendar invites or attachments. You learn about using host controls in Google Meet to manage participants and utilize interactive moderation features. You also learn how to record and live stream video conferences.

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With Google Slides, you can create and present professional presentations for sales, projects, training modules, and much more. Google Slides presentations are stored safely in the cloud. You build presentations right in your web browser—no special software is required. Even better, multiple people can work on your slides at the same time, you can see people’s changes as they make them, and every change is automatically saved. You will learn how to open Google Slides, create a blank presentation, and create a presentation from a template. You will explore themes, layout options, and how to add and format content, and speaker notes in your presentations. You will learn how to enhance your slides by adding tables, images, charts, and more. You will also learn how to use slide transitions and object animations in your presentation for visual effects. We will discuss how to organize slides and explore some of the options, including duplicating and ordering your slides, importi…

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In this course we will introduce you to Google Sheets, Google’s cloud-based spreadsheet software, included with Google Workspace. With Google Sheets, you can create and edit spreadsheets directly in your web browser—no special software is required. Multiple people can work simultaneously, you can see people’s changes as they make them, and every change is saved automatically. You will learn how to open Google Sheets, create a blank spreadsheet, and create a spreadsheet from a template. You will add, import, sort, filter and format your data using Google Sheets and learn how to work across different file types. Formulas and functions allow you to make quick calculations and better use your data. We will look at creating a basic formula, using functions, and referencing data. You will also learn how to add a chart to your spreadsheet. Google Sheets spreadsheets are easy to share. We will look at the different ways you can share with others. We will also discuss how to track changes…

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With Google Docs, your documents are stored in the cloud, and you can access them from any computer or device. You create and edit documents right in your web browser; no special software is required. Even better, multiple people can work at the same time, you can see people’s changes as they make them, and every change is saved automatically. In this course, you will learn how to open Google Docs, create and format a new document, and apply a template to a new document. You will learn how to enhance your documents using a table of contents, headers and footers, tables, drawings, images, and more. You will learn how to share your documents with others. We will discuss your sharing options and examine collaborator roles and permissions. You will learn how to manage versions of your documents. Google Docs allows you to work in real time with others on the same document. You will learn how to create and manage comments and action items in your documents. We will review a fe…

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Google Drive is Google’s cloud-based file storage service. Google Drive lets you keep all your work in one place, view different file formats without the need for additional software, and access your files from any device. In this course, you will learn how to navigate your Google Drive. You will learn how to upload files and folders and how to work across file types. You will also learn how you can easily view, arrange, organize, modify, and remove files in Google Drive. Google Drive includes shared drives. You can use shared drives to store, search, and access files with a team. You will learn how to create a new shared drive, add and manage members, and manage the shared drive content. Google Workspace is synonymous with collaboration and sharing. You will explore the sharing options available to you in Google Drive, and you will learn about the various collaborator roles and permissions that can be assigned. You’ll also explore ways to ensure consistency and save time…

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With Google Calendar, you can quickly schedule meetings and events and create tasks, so you always know what’s next. Google Calendar is designed for teams, so it’s easy to share your schedule with others and create multiple calendars that you and your team can use together. In this course, you’ll learn how to create and manage Google Calendar events. You will learn how to update an existing event, delete and restore events, and search your calendar. You will understand when to apply different event types such as tasks and appointment slots. You will explore the Google Calendar settings that are available for you to customize Google Calendar to suit your way of working. During the course you will learn how to create additional calendars, share your calendars with others, and access other calendars in your organization.

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Gmail is Google’s cloud based email service that allows you to access your messages from any computer or device with just a web browser. In this course, you’ll learn how to compose, send and reply to messages. You will also explore some of the common actions that can be applied to a Gmail message, and learn how to organize your mail using Gmail labels. You will explore some common Gmail settings and features. For example, you will learn how to manage your own personal contacts and groups, customize your Gmail Inbox to suit your way of working, and create your own email signatures and templates. Google is famous for search. Gmail also includes powerful search and filtering. You will explore Gmail’s advanced search and learn how to filter messages automatically.

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The GSI Migration Summit is a curated collection of hands-on labs and quests that provide coverage of application migration. Security and analytics labs and quests have been added to provide coverage of key platform concepts and services.

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This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, Resource Manager, Cloud IAM, Virtual Private Cloud firewalls, Cloud Load Balancing, Cloud Peering, Cloud Interconnect, and VPC Service Controls. This is the first course of the Security in Google Cloud series. After completing this course, enroll in the Security Best Practices in Google Cloud course.

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In this self-paced training course, participants learn mitigations for attacks at many points in a Google Cloud-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use. They also learn about the Security Command Center, cloud logging and audit logging, and using Forseti to view overall compliance with your organization's security policies.

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This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Storage access control technologies, Security Keys, Customer-Supplied Encryption Keys, API access controls, scoping, shielded VMs, encryption, and signed URLs. It also covers securing Kubernetes environments.

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Good news! There’s a new updated version of this learning path available for you!Open the new Professional Cloud Network Engineer Certification Learning Path to begin, once you’ve selected the new path all your current progress will be reflected in the new version.

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This self-paced training course builds on the Networking in Google Cloud: Defining and Implementing Networks course and enhances the study of networking options on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, you explore and deploy Google Cloud networking technologies, such as common network design patterns, connectivity to Google Cloud VPC networks, and private connection options. The course also covers optimizing network performance and cost by using Network Service Tiers. You will also learn about billing and pricing. The course concludes by covering monitoring and logging features that can help you troubleshoot your Google Cloud network infrastructure.

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This self-paced training course gives participants broad study of networking options on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy Google Cloud networking technologies, such as Google Cloud Virtual Private Cloud (VPC) networks, subnets and firewalls. The course also covers access control to networks, sharing networks and load balancing.

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This course helps you structure your preparation for the Professional Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.

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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.

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Good news! There’s a new updated version of this learning path available for you!Open the new Professional Cloud DevOps Engineer Certification Learning Path to begin, once you’ve selected the new path all your current progress will be reflected in the new version.

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This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to on Google Cloud using Cloud Run.design, implement, deploy, secure, manage, and scale applications

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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance. Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.

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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to develop more secure applications, implement federated identity management, and integrate application components by using messaging, event-driven processing, and API gateways. Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer. This is the second course of the Developing Applications with Google Cloud series. After completing this course, enroll in the App Deployment, Debugging, and Performance course.

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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics. Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer. This is the first course of the Developing Applications with Google Cloud series. After completing this course, enroll in the Securing and Integrating Components of your Application course.

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Getting Started with Google Kubernetes Engine 과정에 오신 것을 환영합니다. 애플리케이션과 하드웨어 인프라 사이에 위치하는 소프트웨어 레이어인 Kubernetes에 관심이 있으시다면 잘 찾아오셨습니다. Google Kubernetes Engine을 사용하면 Kubernetes를 Google Cloud에서 관리형 서비스로 사용할 수 있습니다. 이 과정의 목표는 흔히 GKE로 불리는 Google Kubernetes Engine의 기본사항을 소개하고 Google Cloud에서 애플리케이션을 컨테이너화하고 실행하는 방법을 설명하는 것입니다. 이 과정에서는 먼저 Google Cloud에 대해 기본적인 사항을 소개한 후 이어서 컨테이너 및 Kubernetes, Kubernetes 아키텍처, Kubernetes 작업에 대해 간략히 설명합니다.

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Google Cloud Fundamentals: Core Infrastructure 과정은 Google Cloud 사용에 관한 중요한 개념 및 용어를 소개합니다. 이 과정에서는 동영상 및 실무형 실습을 통해 중요한 리소스 및 정책 관리 도구와 함께 Google Cloud의 다양한 컴퓨팅 및 스토리지 서비스를 살펴보고 비교합니다.

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가장 인기 있는 이 탐구 과정에서 Google Cloud를 처음으로 실습할 수 있습니다. Stackdriver 및 Kubernetes의 고급 개념으로 실습하여 VM 가동, 키 인프라 도구 구성과 같은 기본사항을 익혀 보세요.

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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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Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.

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Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.

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The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.

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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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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.

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Welcome Gamers! Today's game is all about experimenting with Big Query for Machine Learning! Use real life case studies to learn various concepts of BQML and have fun. Take labs to earn points. The faster you complete the lab objectives, the higher your score.

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Welcome Gamers! You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.

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This course version is for non-English only. If you wish to take this course in English, please enroll here: Elastic Google Cloud Infrastructure: Scaling and Automation. If you wish to take it in another language, change your language in settings to see availability.

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이 속성 주문형 과정은 참가자에게 Google Cloud에서 제공하는 포괄적이고 유연한 인프라 및 플랫폼 서비스를 Compute Engine을 중심으로 소개합니다. 참가자는 동영상 강의, 데모, 실무형 실습을 통해 네트워크, 가상 머신, 애플리케이션 서비스와 같은 인프라 구성요소를 포함한 솔루션 요소를 탐색하고 배포해 볼 수 있습니다. Console과 Cloud Shell을 통해 Google Cloud를 사용하는 방법을 학습합니다. 또한 클라우드 설계자의 역할, 인프라 설계 접근 방식은 물론 Virtual Private Cloud(VPC), 프로젝트, 네트워크, 서브네트워크, IP 주소, 경로, 방화벽 규칙을 사용한 가상 네트워킹 구성에 대해 알아봅니다.

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