Explore the list of contents of Cloud Storage buckets in Datalab.
- [Instructor] Before we start this chapter,…in case you are still running the exercise file…for the earlier chapter,…make sure you shut it down…because it is running on GCP resources…and that might actually cost you some billing costs.…Let's see how we can use Datalab…to access your cloud data storage contents and list them.…We will use both the command line…and the SDK for executing these tasks.…The exercise file for this…and the following Cloud Storage integration videos…will be 00_XX_using_Cloud_Storage_with_Datalab.…
The files here are specific to the project I am using,…so based on the project you will be using,…the results might be different,…so I recommend that you run all cells…when you open up this notebook…and there are references to specific bucket names…and file names.…Those may not work if those files don't exist…in your own Cloud Storage,…so you can change it to a bucket…or a file that exists in your Cloud Storage…and rerun these commands.…
The GCS or Cloud Storage command line…can be used to list the contents…
- 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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