Learn how to create, update, and delete buckets and contents through Datalab.
- [Narrator] Let's see how we can…create a bucket from DataLab.…Both using the command line, and the SDK.…I will start with the command line.…We use the create option in the gcs command,…to create the bucket.…We specify the full URL of the bucket.…Please do remember that bucket names are global,…within GCP.…So if you try creating a bucket that already exists,…it is going to give an error.…Next, we will use the SDK to do the same.…
We have already imported the SDK into this notebook.…So we proceed to set up an object called…api_bucket, with the name of the bucket we intend to create.…We then call the create function, on the api_bucket object.…We then check if the bucket exists, by calling…the exists function, and that returns a true value.…To check buckets that are created using…both the command lines and SDK,…we execute the list command, it returns…all the buckets in your project.…
Including those that were just created.…Pretty simple, right?…Now, we have two options to create buckets in DataLab.…We can use the command length for simple, straightforward…
- Setting up Cloud DataLlb for exploratory data analytics
- Segmentation and profiling
- Reading and writing data from BigQuery
- Managing cloud storage buckets
- Creating visualizations of BigQuery data with the GCP Charting API
- Managing Datalab instances
Skill Level Intermediate
Predictive Customer Analyticswith Kumaran Ponnambalam1h 37m Intermediate
1. Exploration Options in GCP
2. Cloud Datalab Basics
3. Datalab: BigQuery
4. Datalab: Cloud Storage
5. Datalab: Visualizations
6. EDA with GCP: Use Case
7. Managing Datalab
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