Overview
Knowledge Catalog is an intelligent data fabric that enables organizations to centrally discover, manage, monitor, and govern their data across data lakes, data warehouses, and data marts to power analytics at scale. Specifically, you can use Knowledge Catalog to build a data mesh architecture, which is an organizational and technical approach that decentralizes data ownership among domain data owners.
Knowledge Catalog manages data in a way that doesn’t require data movement or duplication. As you add new data assets, Knowledge Catalog harvests the metadata for both structured and unstructured data, and automatically registers all metadata in a secure, unified metastore. Data and metadata can then be assessed via Google Cloud services such as BigQuery.
In this lab, you learn how to start building your own data mesh by creating and removing lakes, zones, and assets in Knowledge Catalog using the Google Cloud console.
What you'll do
In this lab, you learn how to perform the following tasks:
Setup and requirements
Read these instructions. Labs are timed and you cannot pause them. The timer, which starts when you click Start Lab, shows how long Google Cloud resources are made available to you.
This hands-on lab lets you do the lab activities in a real cloud environment, not in a simulation or demo environment. It does so by giving you new, temporary credentials you use to sign in and access Google Cloud for the duration of the lab.
To complete this lab, you need:
- Access to a standard internet browser (Chrome browser recommended).
Note: Use an Incognito (recommended) or private browser window to run this lab. This prevents conflicts between your personal account and the student account, which may cause extra charges incurred to your personal account.
- Time to complete the lab—remember, once you start, you cannot pause a lab.
Note: Use only the student account for this lab. If you use a different Google Cloud account, you may incur charges to that account.
How to start your lab and sign in to the Google Cloud console
Click the Start Lab button. If you need to pay for the lab, a dialog opens for you to select your payment method. On the right is the Lab setup and access panel with the following:
The Open Google Cloud console button
The temporary credentials (username and password) that you must use for this lab
Other information, if needed, to step through this lab
Note that the lab timer is located near the top of the page, showing the remaining time.
Click Open Google Cloud console (or right-click and select Open Link in Incognito Window if you are running the Chrome browser).
The lab spins up resources, and then opens another tab that shows the Sign in page.
Tip: Arrange the tabs in separate windows, side-by-side.
Note: If you see the Choose an account dialog, click Use Another Account.
If necessary, copy the Username below and paste it into the Sign in dialog.
student-04-06fbd5fb1ede@qwiklabs.net
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You can also find the Username in the Lab setup and access panel.
Click Next.
Copy the Password below and paste it into the Welcome dialog.
G6t9Ez3GX1Ox
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You can also find the Password in the Lab setup and access panel.
Click Next.
Important: You must use the credentials the lab provides you. Do not use your Google Cloud account credentials.
Note: Using your own Google Cloud account for this lab may incur extra charges.
Click through the subsequent pages:
Accept the terms and conditions.
Do not add recovery options or two-factor authentication (because this is a temporary account).
Do not sign up for free trials.
After a few moments, the Google Cloud console opens in this tab.
Note: To access Google Cloud products and services, click the Navigation menu or type the service or product name in the Search field.
Enable the Cloud Dataplex API
Dataplex Universal Catalog is now called Knowledge Catalog. The API, client library, CLI, and IAM names remain unchanged. To learn more, review the documentation page titled Cloud Dataplex API.
In the Google Cloud Console, enter Cloud Dataplex API in the top search bar.
Click on the result for Cloud Dataplex API under Marketplace.
Click Enable (if it is not already enabled).
Task 1. Create a lake
In Knowledge Catalog, a lake is the highest organizational domain that represents a specific data area or business unit. For example, you can create a lake for each department or data domain in your organization, so that you can organize and provide data for specific user groups.
In this task, you create a lake to start building a data mesh.
In the Google Cloud Console, select Navigation menu (
) > View all products. Under Analytics, select Knowledge Catalog.
If prompted Welcome to the new Knowledge Catalog experience, click Close.
Under Manage lakes, click Manage.
Click +Create lake.
Enter the required information to create a new lake:
| Property |
Value |
| Display Name |
sensors |
| ID |
Leave the default value. |
| Region |
europe-west1 |
Leave the other default values.
- Click Create.
It can take up to 3 minutes for the lake to be created.
Click Check my progress to verify the objective.
Create a data lake sensors
Task 2. Add a zone to your lake
After you create a lake, you can add zones to the lake. Zones are subdomains within a lake that you can use to categorize data further. For example, you can categorize data by stage, usage, or restrictions.
There are two types of zones:
Raw zones contain data in raw formats (such as files in Cloud Storage buckets) and are not subject to strict type-checking.
Curated zones contain data that is cleaned, formatted, and ready for analytics such as BigQuery tables.
In this task, you create a raw zone for working with files in a Cloud Storage bucket.
On the Manage tab, click on the name of your lake.
Click +Add zone.
Enter the required information to create a new zone:
| Property |
Value |
| Display Name |
temperature raw data |
| ID |
Leave the default value. |
| Type |
Raw zone |
| Data locations |
Regional |
| Discovery settings |
Check Enable metadata discovery |
Leave the other default values.
- Click Create.
It can take up to 2 minutes for the zone to be created.
You can perform the next task once the status of the zone is Active.
Click Check my progress to verify the objective.
Add a zone temperature raw data to the lake sensors
Task 3. Attach an asset to a zone
Data stored in Cloud Storage buckets or BigQuery datasets can be attached as assets to zones within a Knowledge Catalog lake.
In this task, you attach a Cloud Storage bucket that you create in the Google Cloud console.
On the Zones tab, click on the name of your zone.
On the Assets tab, click +ADD ASSET.
Click +ADD AN ASSET.
Enter the required information to attach a new asset:
| Property |
Value |
| Type |
Storage bucket |
| Display Name |
measurements |
| ID |
Leave the default value. |
Leave the other default values.
- For Bucket, click Browse.
You can attach an existing Cloud Storage bucket or create a new one without leaving Knowledge Catalog. In the next steps, you create a new Cloud Storage bucket and attach it to the zone.
Click +Create new bucket (
).
Provide your project ID as the bucket name (qwiklabs-gcp-04-a6e4932db7b3), and then click Continue.
For Location type, select Region, and then select europe-west1
Leave other default values.
- Click Create.
If prompted Public access will be prevented, click Confirm.
Click Select to select the bucket you just created, and then click Continue.
For Discovery settings, select Inherit to inherit the Discovery settings from the zone level, and then click Continue.
Click Submit.
Click Check my progress to verify the objective.
Create a cloud storage bucket and attach an asset measurements to the zone temperature raw data
Task 4. Delete assets, zones, and lakes
To delete a lake, you must first detach assets and then delete the zones.
In this task, you detach the asset from the zone, then delete the zone, and last, delete the lake.
Detach an asset
On the left menu, click the Manage tab, and then click the name of your lake.
On the Zones tab, click on the name of your zone.
On the Assets tab, enable the checkbox to the left of the asset name.
Click Delete assets.
Click Delete to confirm.
This action does not delete the underlying data in the Cloud Storage bucket. It simply removes the Cloud Storage bucket from being accessible or discoverable using the lake in Knowledge Catalog.
Delete a zone
On the left menu, click on Manage tab, and then click on the name of your lake.
On the Zones tab, enable the checkbox to the left of the zone name.
Click Delete zone.
Click Delete to confirm.
Delete the lake
On the left menu, click on Manage tab, and then click on the name of your lake.
At the top of the page, click Delete.
Confirm deletion by typing delete into the text box.
Click Delete lake to confirm.
Click Check my progress to verify the objective.
Delete lake sensors and nested resources
Solution of Lab
Quick
https://www.youtube.com/watch?v=RnTSZ7gavHQ
curl -LO raw.githubusercontent.com/ePlus-DEV/storage/refs/heads/main/labs/GSP1143/lab.sh
source lab.sh
Script Alternative
curl -LO raw.githubusercontent.com/Techcps/Google-Cloud-Skills-Boost/master/Dataplex%3A%20Qwik%20Start%20-%20Console/techcps1143.sh
sudo chmod +x techcps1143.sh
./techcps1143.sh
Manual
https://www.youtube.com/watch?v=fO5Yz8-ZGuw
