In this video, learn how to work with Bigtable data.
- [Instructor] When you're building data pipelines, … two references are very useful. … We've looked at them previously, … but they're useful again at this point in the course. … So there is an article here … on Data Lifecycle in the Cloud, … and I've looked at the section here around Ingest … for Ingesting bulk data. … And we're really to the point now … in our understanding where we can start … to think about the type of data, … and here, this graphic shows it very clearly Structured, … Semi-Structured, or Unstructured. … And then, the next level is Transactional, … Analytical, Fully Indexed, or Row Key, … which helps you to figure out … which of the services is best for storage. … And again, this is a level of complexity … that is really warranted only by the particular scenario. … I have really very few customers, … I can count them on one hand, … that are going to use all these different storage systems. … Most customers are going to use … some combination of Transactional, … either Cloud SQL or Cloud Spanner, depending on volume. …
- Enterprise concerns
- Enterprise scenarios
- Setting up your organization’s account
- Managing billing
- Enterprise compute services
- Enterprise storage and database services
- Enterprise data pipelines
- GCP developer and DevOps tools
Skill Level Intermediate
Working with cloud services1m 13s
1. GCP for the Enterprise
2. Enterprise Setup and Security
3. Enterprise Compute
4. Enterprise Storage and Database
5. Enterprise Data Pipelines
6. Dev and DevOps Tools
Next steps1m 20s
- 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.Cancel
Take 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.