Create and Add Aspects to Knowledge Catalog Assets

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.

Knowledge Catalog is a fully managed, scalable metadata management service within Knowledge Catalog. Knowledge Catalog lets you create aspect types and then add those aspects to data assets. Aspects let you capture metadata within entries. Adding aspects to an entry (or asset) helps provide meaningful context to anyone who needs to use the asset. You can use aspects to store business metadata (for example, data classification) and technical metadata (for example, schema).

Aspects allow you to add custom metadata to assets for easy identification and retrieval, such as adding an aspect to certain assets to identify that they contain protected or sensitive data. You can also create reusable aspect types to rapidly add the same aspects to different data assets.

In this lab, you learn how to use Knowledge Catalog to create an aspect type, add the aspect to Knowledge Catalog assets, and then use the aspect to search for assets.

What you'll learn

In this lab, you learn how to perform the following:

Enable the Dataplex API.
Create a lake, zone, and asset in Knowledge Catalog.
Create an aspect type.
Add an aspect to assets.
Search for assets using aspects.

Setup and requirements

Before you click the Start Lab button

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.

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 left is the Lab Details pane with the following:
- The Open Google Cloud console button
- Time remaining
- The temporary credentials that you must use for this lab
- Other information, if needed, to step through this lab
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-00-6e425b1fb024@qwiklabs.net
```
Copied!

You can also find the Username in the Lab Details pane.
Click Next.
Copy the Password below and paste it into the Welcome dialog.
```
5HyAXSm4ldhl
```
Copied!

You can also find the Password in the Lab Details pane.
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 Dataplex API

In the Google Cloud console title bar, type Cloud Dataplex API in the Search field and then click Cloud Dataplex API in the search results.
If needed, click Enable to enable the Cloud Dataplex API.

Task 1. Create a lake, zone, and asset

In this task, you create a new Knowledge Catalog lake to store customer order information, add a curated zone to the lake, and then attach a pre-created BigQuery dataset as a new asset in the zone.

Create a lake

In the Navigation menu (

) click View all products. Under Analytics, click Knowledge Catalog.
In the left pane, under Manage lakes, click Manage.
Click Create Lake.
Set the properties below as follows, leave the remaining properties as their default.

Property	Value
Display Name	Orders Lake
Region	`europe-west1`

Scroll down and click Create.

It can take a few minutes for the lake to be created.

You can proceed to the next section once the status of the lake is Active.

Add a zone to the lake

In the Lakes list, click Orders Lake.
Click Add zone.
Set the properties below as follows to create a new zone. Leave all other properties at their default values.

Property	Value
Display Name	Customer Curated Zone
Type	Curated zone
Data locations	Regional

Click Create.

It can take a few minutes for the zone to be created.

You can proceed to the next section once the status of the zone is Active.

Attach an asset to a zone

In the Zones instance list, click Customer Curated Zone.
Click Add assets.
Click Add an asset.
Set the properties below as follows, and leave the remaining properties at the default values:

Property	Value
Type	BigQuery dataset
Display Name	Customer Details Dataset
Dataset	`qwiklabs-gcp-04-0ff95beba643`.customers

Click Continue.
For Discovery settings, select Inherit to inherit the Discovery settings from the zone level, and then click Continue.
Click Submit.

Create a lake, zone, and asset in Knowledge Catalog

Task 2. Create an aspect type

An aspect type is a reusable template for aspects. Every aspect is an instance of an aspect type. To add an aspect to an asset, you first need to create one or more aspect types.

In this task, you create an aspect type to label BigQuery table columns with a protected status. With a public aspect type, users with access to the BigQuery table can see the aspects applied to the columns.

On the left pane, under Manage Metadata, click Metadata Types.
Select the Aspect types tab, then click Create.
Enter the required information to define the aspect type:

Property	Value
Display Name	Protected Data Aspect
Location	`europe-west1`

In the Template section, click Add field and enter the required information to add a new field to the aspect type:

Property	Value
Field Display Name	Protected Data Flag
Type	Enum

Select the Is Required checkbox.
Click Add an enum value.
For Values, enter Yes.
Click Done.
Click Add an enum value.
For Values, enter No.
Click Done.
Click Save.

Note: It can take a few minutes for the aspect type to be created before the progress check returns a successful message.

Create an aspect type

Task 3. Add an aspect to assets

After you create an aspect type, you can add that aspect to any number of data assets.

In this task, you add the Protected Data aspect to columns in the BigQuery table that need a protected data status.

Add an aspect to the entry

On the left menu, under Discover, click Search.
On the Search bar, for Choose search platform, select Knowledge Catalog.
For Filters > Systems, select the BigQuery checkbox.
In the Search text box, enter customer_details, and then click customer_details from the search results.

If you do not see the customer_details table, make sure that the search platform is selected as Knowledge Catalog on the top right.

Scroll down to the Aspects section. Next to Optional aspects, click Add.
Type protected data aspect in the Filter field, and then click the Protected Data Aspect aspect from the results.
For Protected Data Flag, select Yes.
Click Save.

Add an aspect to a column of the entry

Click the Schema tab.
Select the following column checkboxes:
- zip
- state
- last_name
- country
- email
- latitude
- first_name
- city
- longitude
Click Add aspect.
Click Protected Data Aspect.
For Protected Data Flag, select Yes.
Click Save.

Note: It can take a few minutes for the aspect type to be added to the asset before the progress check returns a successful message.

Add an aspect to assets

Task 4. Search for assets using aspects

After you add an aspect to an asset, such as a table column, you can search for that asset using the aspect name in Knowledge Catalog.

In this task, you search for the assets that have the Protected Data aspect applied.

On the left menu, under Discover, click Search.

Because you selected Knowledge Catalog in an earlier task, the search bar will use it to retrieve the results.

For Filters > Aspects, select the Protected Data Aspect checkbox.
Click the customer_details table.
Click the Schema tab to see the Protected Data aspects on the specified columns.

Solution of Lab

https://www.youtube.com/watch?v=uf8TabFoDnY

curl -LO raw.githubusercontent.com/ePlus-DEV/storage/refs/heads/main/labs/GSP1145/lab.sh
source lab.sh

Script Alternative

curl -LO raw.githubusercontent.com/prateekrajput08/Arcade-Google-Cloud-Labs/refs/heads/main/Create%20and%20Add%20Aspects%20to%20Dataplex%20Assets/TechCode.sh
sudo chmod +x TechCode.sh 
./TechCode.sh