See how to install and set up Datalab on the desktop under Cloud SDK in this video.
- [Instructor] Let us set up Datalab through the Cloud SDK now. For this, we need to open the SDK Shell by going to: Start Menu, Google Cloud SDK, Google Cloud SDK Shell. This opens up the Shell for us. We first need to update all components to the latest version so we run: gcloud components update. That updates all the version to the latest ones if they are not already there. Next, we are going to install Datalab through the command: gcloud components install datalab.
It opens up another window to ask for confirmation about the components being installed. We are going to say yes. It is going to take some time for the installation to complete, so, please be patient. Now the installation is complete. Next, we have to create a separate instance of Datalab for us to do our work. Before that, we have to set some configuration values. If you do: gcloud config list.
It shows you a list of parameters. The most important ones are the account, that points to the user ID for you on GCP, and the project ID in GCP, under which you want Datalab to run. If they are not set, you can set them using the command: gcloud conflict set (name of the parameter) and the value.
Now the property is updated. Now we can proceed to create an instance of Datalab for us. For this, we are going to execute the command: datalab create datalab-lil-demo. It is asking for a specific zone in which it wants to create a VM. When you create an instance of Datalab, it creates a VM Compute Engine with the same name as the instance name.
So, we have to provide a zone under which you want it to be created. This command, again, can run for a long time. Maybe even up to 10 minutes, so please be patient. It is now trying to create an instance, and once the instance is created, we can access that instance using: localhost:8081. If you now go to the Compute Engine VM, you will see a VM called, datalab-lil-demo, created for you, with the same name as the instance name.
This indicates that you have successfully installed, and created an instance of Datalab for you. In the next video, I will show you how to connect to this instance of Datalab.
- 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