Learn how to write objects from Datalab structures to Cloud Storage buckets.
- [Instructor] Let's see how we can quickly write…the contents of a Python variable…into an object on Cloud Storage.…First, you have to create a text variable.…In this case, I call it write text.…Let's make the content something descriptive.…String like testing for GS writes.…We use the write option in the GCS command line…to write the contents of this object.…We specify the variable to read from…using the variable option and also the object…to write them using the object option.…
Then, we will try do the same thing with the SDK.…We create a write bucket object with the bucket name.…We then create a write object variable…with the full object path inside the write bucket.…We write to that object using the write stream function.…We will now go to the cloud storage dashboard…and check out the results of all our operations.…We see that there are two new buckets…created based on our create commands…using the command line and the SDK.…
If you go inside the test, kumaran hyphen…two, zero, one, eight, zero, eight,…26, one, one, zero, two, nine, one bucket,…
- 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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