Developing on the Google Cloud Using Datalab and Cloud Source Repositories
In this course, you'll gain an understanding of how to begin consolidating your code, compute, and data all together in a Google Cloud Platform environment using a variety of developer tools combined with GCP services you're already familiar with.
What you'll learn
At the core of cloud development is a thorough knowledge of Cloud Source Repositories. In this course, Developing on the Google Cloud Using Datalab and Cloud Source Repositories, you’ll learn how to use developer tools on the Google cloud. First, you’ll learn the features that these products offer and see how easily they can integrate with other GCP services. Next, you’ll explore the suite of developer tools that you can work with on the Google Cloud and how to pick the best tool for your use case. Finally, you’ll discover how to create your Cloud Datalab instance for data exploration and visualization. When you’re finished with this course, you’ll have a foundational knowledge of Google Cloud Source Repositories which will help you as you move forward in bringing your code, compute, and data all together on one platform.
Table of contents
- Module Overview 2m
- Creating a Datalab Instance 5m
- Datalab Persistent Disk and Network 3m
- Connecting to a Datalab Instance 5m
- Executing Python Code on Cloud Shell 6m
- Execute Python Code on Datalab 6m
- Working with Cloud Datalab in a Team Environment 7m
- Using Magic Functions and Client Libraries to Work with Cloud Storage 7m
- Working with Big Query from Cloud Datalab 6m
- Committing Notebooks to Cloud Source Repositories 3m
- Module Overview 1m
- Creating a New Cloud Source Repository 5m
- Pushing Files to a Cloud Source Repository 3m
- Using Source Repositories to Deploy an App Engine Application 4m
- Implementing a CI/CD Pipeline Using Cloud Build 7m
- Adding a Repo as a Remote Repository 6m
- Configuring Cloud Source Repositories to Work with GitHub 3m
- Integration with Pub/Sub to Receive Change Notifications 4m
- Summary 2m