Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Oct 4, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Sep 16, 2024 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned Sep 12, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned Sep 3, 2024 EDT
设置 Google Cloud 网络
Earned Jul 22, 2023 EDT
Google Cloud 弹性基础设施：扩缩和自动化
Earned Jul 7, 2023 EDT
开发 Google Cloud 网络
Earned Jun 22, 2023 EDT
Google Cloud 重要基础设施：核心服务
Earned Jun 14, 2023 EDT
在 Google Cloud 上设置应用开发环境
Earned Jun 6, 2023 EDT
为 Compute Engine 实现云负载均衡
Earned Jun 3, 2023 EDT
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.
了解详情
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.
了解详情
While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
了解详情
This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
了解详情
完成设置 Google Cloud 网络课程，赢取技能徽章， 您将了解如何在 Google Cloud Platform 上执行基本的网络组建和管理任务 - 创建自定义网络、添加子网防火墙规则，然后创建虚拟机并测试 虚拟机之间相互通信时的延迟时间。
了解详情
这是一套自助式速成课程，向学员介绍 Google Cloud 提供的灵活全面的基础架构和平台服务。学员将通过一系列视频讲座、演示和实操实验，探索和部署各种解决方案元素，包括安全互连网络、负载均衡、自动扩缩、基础架构自动化和代管式服务。
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Oct 4, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Sep 16, 2024 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned Sep 12, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned Sep 3, 2024 EDT
设置 Google Cloud 网络
Earned Jul 22, 2023 EDT
Google Cloud 弹性基础设施：扩缩和自动化
Earned Jul 7, 2023 EDT
开发 Google Cloud 网络
Earned Jun 22, 2023 EDT
Google Cloud 重要基础设施：核心服务
Earned Jun 14, 2023 EDT
在 Google Cloud 上设置应用开发环境
Earned Jun 6, 2023 EDT
为 Compute Engine 实现云负载均衡
Earned Jun 3, 2023 EDT