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Mukesh Gupta

成为会员时间:2018

白银联赛

1700 积分
DEPRECATED BigQuery for Data Warehousing Earned Feb 2, 2020 EST
云工程 Earned Feb 2, 2020 EST
NCAA® March Madness®: Bracketology with Google Cloud Earned Mar 25, 2019 EDT
在 Google Cloud 中使用 Kubernetes Earned Mar 23, 2019 EDT
DEPRECATED BigQuery for Data Analysis Earned Feb 19, 2019 EST
DEPRECATED Application Development - Java Earned Jan 9, 2019 EST
Baseline: Deploy & Develop Earned Dec 30, 2018 EST
基准:数据、机器学习和 AI Earned Dec 30, 2018 EST
基准:基础架构 Earned Dec 26, 2018 EST
Google Cloud 基础知识 Earned Dec 25, 2018 EST

Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.

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在众多课程中,本入门课程独具特色。 这些实验经过精心设计,旨在让 IT 专业人员通过实践掌握 Google Cloud 认证 Associate Cloud Engineer 考核中的各项主题和服务内容。从 IAM 到网络组建和管理, 再到 Kubernetes Engine 部署,本课程将通过特定实验 检验您的 Google Cloud 知识掌握情况。请注意,虽然这些实操 实验有助于提升您的技能和能力,我们仍建议您同时查阅 考试指南和其他可用的备考资源。

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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.

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Kubernetes 是最受欢迎的容器编排系统, Google Kubernetes Engine 专为支持 Google Cloud 中的托管式 Kubernetes 部署 而设计。在本高级课程中,您将亲自动手配置 Docker 映像、容器,并部署功能完备的 Kubernetes Engine 应用。 此课程将帮助您掌握在工作流中集成容器编排所需的 实用技能。 想要参加实操实验室挑战赛, 展示您的技能并检验所学知识?完成本课程后,不妨继续参与这项额外的 实验室挑战赛,赢得 Google Cloud 专属数字徽章。 该挑战赛位于在 Google Cloud 上部署 Kubernetes 应用课程的结尾处。

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Want to learn the core SQL and visualization skills of a Data Analyst? Interested in how to write queries that scale to petabyte-size datasets? Take the BigQuery for Analyst Quest and learn how to query, ingest, optimize, visualize, and even build machine learning models in SQL inside of BigQuery.

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In this advanced-level quest, you will learn the ins and outs of developing GCP applications in Java. The first labs will walk you through the basics of environment setup and application data storage with Cloud Datastore. Once you have a handle on the fundamentals, you will get hands-on practice deploying Java applications on Kubernetes and App Engine (the latter is the same framework that powers Snapchat!) With specialized bonus labs that teach user authentication and backend service development, this quest will give you practical experience so you can start developing robust Java applications straight away.

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In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.

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大数据、机器学习和人工智能是当今计算领域的热门话题, 但这些领域的专业性很强,因而很难找到 入门资料。幸运的是,Google Cloud 在这些领域提供了方便用户使用的服务, 通过本入门级课程,您可以 开始学习使用 BigQuery、Cloud Speech API 和 Video Intelligence 等工具。

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如果您是一位入门级云开发者, 在学习了“Google Cloud 基础知识”课程之后,想要寻求真正的实操机会,这门课程就是您的不二之选。您将获得宝贵的实操经验, 通过多个实验深入探索 Cloud Storage 以及 Monitoring 和 Cloud Functions 等其他关键应用服务。您将掌握一系列宝贵技能, 在 Google Cloud 的任何计划中,这些技能都能发挥作用。

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在本入门级课程中,您将了解 Google Cloud 的基础工具和服务。此课程提供了可选视频, 旨在帮助您深入了解和回顾实验中涉及的概念。Google Cloud 基础知识是推荐给 Google Cloud 学员的第一门课程 - 即使您几乎没有云相关知识,也能从中获得实践 经验,并将其直接运用于您的首个 Google Cloud 项目。从编写 Cloud Shell 命令和部署您的第一个虚拟机,到在 Kubernetes Engine 上运行应用 或者使用负载均衡,“Google Cloud 基础知识”都是您了解该平台 基本功能的首选入门级课程。

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