- [Instructor] So as you're working with GCP,…you might want to use the console…to interact with the services, but you also…might want to use code, and so I'm going to show you…some areas with sample code and tutorials here.…So the first area is an index into GitHub,…and this is run by the Google Cloud Platform team,…and it's pretty self-explanatory.…For example, if I wanted to find sample code…that was written in Java, I would just click on Language…and Java, and then for example if I wanted to…work with the BigQuery service,…I'd just click here, and this takes me into GitHub.…
And again, this is maybe skipping ahead a little bit.…We'll be working on this a little bit later in the course.…We'll mostly be working on the console,…but I just wanted to give you this resource…in case you're a developer and you want to…get into some code right away.…So when we're going through the services,…you can use this as a resource…to find out about solutions and services…that can be accessed programmatically.…Now, in addition to that, there's some tutorials…
Author
Released
3/20/2017- Google Cloud Platform benefits
- Compute services
- Database and storage services
- Data pipeline services
- Machine learning and visualization
- Networking and developer tools
- Implementation solutions
- Architecture options
Skill Level Intermediate
Duration
Views
-
Introduction
-
Welcome42s
-
-
1. What Is the Google Cloud Platform?
-
Cloud and compute services1m 32s
-
Storage and data services1m 42s
-
Big data services1m 40s
-
Other services2m 23s
-
-
2. Why Use the Google Cloud?
-
3. Getting Started with the Google Cloud
-
Set up your account2m 22s
-
Navigate to the GCP console1m 14s
-
Use APIs4m 57s
-
About gcloud2m 58s
-
Compare GCP to AWS1m 14s
-
-
4. Using Google Compute Services
-
Use GCE resources5m 15s
-
Use Container Engine: GKE10m 54s
-
Use Google App Engine6m 40s
-
5. Using Google Database and Storage Services
-
Use Google Cloud Storage4m 30s
-
Use Google Cloud SQL4m 44s
-
Use Google Cloud Datastore4m 48s
-
Use Google BigQuery9m 37s
-
Compare Bigtable to BigQuery2m 30s
-
6. Using Google Data Pipeline Services
-
Use Google Pub/Sub6m 32s
-
Use Google Dataproc6m 28s
-
Use Google Dataflow1m 48s
-
Use the Google Genomics API5m 51s
-
7. Using Google Machine Learning and Visualization
-
Use the Cloud Vision API4m 54s
-
Use the Google Cloud Datalab3m 30s
-
Use Datalab examples5m 4s
-
8. Using Networking and Developer Tools
-
Use Stackdriver Monitoring4m 16s
-
9. Implementing Solutions: Architectures and Practices
-
Use reference architectures1m 21s
-
Big data and data warehouse4m 36s
-
Internet of Things3m 59s
-
Bioinformatics3m 53s
-
Explore some other resources1m 48s
-
-
Conclusion
-
Next steps33s
-
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.
CancelTake notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.
Share this video
Embed this video
Video: Use walk-throughs and tutorials