# Dataplex: Qwik Start - Command Line - GSP1144

## Overview

[Dataplex](https://cloud.google.com/dataplex) 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 Dataplex to build a data mesh architecture, which is an organizational and technical approach that decentralizes data ownership among domain data owners.

Dataplex manages data in a way that doesn’t require data movement or duplication. As you add new data assets, Dataplex 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 Data Catalog and BigQuery.

In this lab, you learn how to start building your own data mesh by creating and removing lakes, zones, and assets in Dataplex using the command line.

### What you'll do

*   Enable the Dataplex API
    
*   Create a lake
    
*   Add a zone to your lake
    
*   Attach and detach assets
    
*   Delete zones and lakes
    

## 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.

### How to start your lab and sign in to the Google Cloud console

1.  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
        
2.  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**.
    
3.  If necessary, copy the **Username** below and paste it into the **Sign in** dialog.
    
    ```apache
    student-04-4ee3cfba204c@qwiklabs.net
    ```
    
    You can also find the Username in the Lab Details pane.
    
4.  Click **Next**.
    
5.  Copy the **Password** below and paste it into the **Welcome** dialog.
    
    ```apache
    voSvwGtSalBA
    ```
    
    You can also find the Password in the Lab Details pane.
    
6.  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.
    
7.  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.

![Navigation menu icon and Search field](https://cdn.qwiklabs.com/9Fk8NYFp3quE9mF%2FilWF6%2FlXY9OUBi3UWtb2Ne4uXNU%3D align="left")

### Activate Cloud Shell

Cloud Shell is a virtual machine that is loaded with development tools. It offers a persistent 5GB home directory and runs on the Google Cloud. Cloud Shell provides command-line access to your Google Cloud resources.

1.  Click **Activate Cloud Shell** at the top of the Google Cloud console.
    
2.  Click through the following windows:
    
    *   Continue through the Cloud Shell information window.
        
    *   Authorize Cloud Shell to use your credentials to make Google Cloud API calls.
        

When you are connected, you are already authenticated, and the project is set to your **Project\_ID**, `qwiklabs-gcp-02-e9ed97dd299e`. The output contains a line that declares the **Project\_ID** for this session:

```apache
Your Cloud Platform project in this session is set to qwiklabs-gcp-02-e9ed97dd299e
```

`gcloud` is the command-line tool for Google Cloud. It comes pre-installed on Cloud Shell and supports tab-completion.

3.  (Optional) You can list the active account name with this command:
    

```apache
gcloud auth list
```

4.  Click **Authorize**.
    

**Output:**

```apache
ACTIVE: *
ACCOUNT: student-04-4ee3cfba204c@qwiklabs.net

To set the active account, run:
    $ gcloud config set account `ACCOUNT`
```

5.  (Optional) You can list the project ID with this command:
    

```apache
gcloud config list project
```

**Output:**

```apache
[core]
project = qwiklabs-gcp-02-e9ed97dd299e
```

**Note:** For full documentation of `gcloud`, in Google Cloud, refer to [the gcloud CLI overview guide](https://cloud.google.com/sdk/gcloud).

### Enable the Dataplex API and set variables

1.  In Cloud Shell, run the following command to enable the Dataplex API.
    

```apache
gcloud services enable \
  dataplex.googleapis.com
```

2.  Run the following command to create a variable for project ID:
    

```apache
export PROJECT_ID=$(gcloud config get-value project)
```

3.  Run the following command to create a variable for region:
    

```apache
export REGION=us-east1
gcloud config set compute/region $REGION
```

## Task 1. Create a lake

In Dataplex, 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 use the command line to create a lake to start building a data mesh.

*   In Cloud Shell, run the following command to create a new lake called **Ecommerce**:
    

```apache
gcloud dataplex lakes create ecommerce \
   --location=$REGION \
   --display-name="Ecommerce" \
   --description="Ecommerce Domain"
```

It can take up to 3 minutes for the lake to be created.

If you receive an error of `Status code: 403. Permission 'dataplex.lakes.create' denied`, wait a few minutes and try again. The permissions may need more time to be granted after enabling the Dataplex API in the previous Setup section.

The final output should look similar to the following:

```apache
Created [ecommerce] Lake created in [projects/$PROJECT_ID/locations/$REGION].
```

Step successfully completed.

Create a Dataplex lake

**Check my progress**

*Step successfully completed.*

## 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 datasets.
    

In this task, you use the command line to create a curated zone for working with BigQuery datasets.

*   In Cloud Shell, run the following command to create a new curated zone called **Orders Curated Zone** with metadata discovery enabled:
    

```apache
gcloud dataplex zones create orders-curated-zone \
    --location=$REGION \
    --lake=ecommerce \
    --display-name="Orders Curated Zone" \
    --resource-location-type=SINGLE_REGION \
    --type=CURATED \
    --discovery-enabled \
    --discovery-schedule="0 * * * *"
```

It can take up to 2 minutes for the zone to be created.

The final output should look similar to the following:

```apache
Created [orders-curated-zone] Zone created in [projects/$PROJECT_ID/locations/$REGION/lakes/ecommerce].
```

Step successfully completed.

Add a zone to your lake

**Check my progress**

*Step successfully completed.*

## 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 Dataplex lake.

In this task, you use the command line to create a BigQuery dataset and then attach the dataset to the previously created zone.

### Create a BigQuery dataset

*   In Cloud Shell, run the following command to create a new BigQuery dataset called **orders**:
    

```apache
bq mk --location=$REGION --dataset orders
```

While this dataset does not contain any tables or data, you can attach it to the zone now, and newly created tables and loaded data will automatically be integrated into the zone.

The final output should look similar to the following:

```apache
Dataset '$PROJECT_ID:orders' successfully created.
```

### Attach the BigQuery dataset to the zone

*   In Cloud Shell, run the following command to attach the BigQuery dataset to the zone as an asset called **Orders Curated Data** with metadata discovery enabled:
    

```apache
gcloud dataplex assets create orders-curated-dataset \
--location=$REGION \
--lake=ecommerce \
--zone=orders-curated-zone \
--display-name="Orders Curated Dataset" \
--resource-type=BIGQUERY_DATASET \
--resource-name=projects/$PROJECT_ID/datasets/orders \
--discovery-enabled
```

It can take up to 2 minutes for the asset to be created.

The final output should look similar to the following:

```apache
Created [orders-curated-dataset] Asset created in [projects/$PROJECT_ID/locations/$REGION/lakes/ecommerce/zones/orders-curated-zone].
```

Attach an asset to a zone

**Check my progress**

## 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 use the command line to detach the asset from the zone, then delete the zone, and last, delete the lake.

### Detach an asset

*   In Cloud Shell, run the following command to detach the BigQuery dataset from the zone:
    

```apache
gcloud dataplex assets delete orders-curated-dataset --location=$REGION --zone=orders-curated-zone --lake=ecommerce
```

If prompted to confirm, enter `Y`.

This action does delete the underlying data in the BigQuery dataset. It simply removes the BigQuery dataset from being accessible or discoverable using the lake in Dataplex.

The final output should look similar to the following:

```apache
Deleted asset [orders-curated-dataset].
```

### Delete a zone

*   In Cloud Shell, run the following command to delete the zone:
    

```apache
gcloud dataplex zones delete orders-curated-zone --location=$REGION --lake=ecommerce
```

If prompted to confirm, enter `Y`.

The final output should look similar to the following:

```apache
Deleted zone [orders-curated-zone].
```

### Delete the lake

*   In Cloud Shell, run the following command to delete the lake:
    

```apache
gcloud dataplex lakes delete ecommerce --location=$REGION
```

If prompted to confirm, enter `Y`.

The final output should look similar to the following:

```apache
Deleted lake [ecommerce].
```

Delete assets, zone and dataplex lake

**Check my progress**

* * *

## Solution of Lab

%[https://www.youtube.com/watch?v=ncKWNzdpJa8] 

```apache
curl -LO raw.githubusercontent.com/ePlus-DEV/storage/refs/heads/main/labs/GSP1144/lab.sh
source lab.sh
```

**Script Alternative**


```apache
export REGION=
```

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1747732770453/897cfbe9-d01b-42fe-b498-ef37c1504872.png align="center")

```apache

curl -LO raw.githubusercontent.com/prateekrajput08/Arcade-Google-Cloud-Labs/refs/heads/main/Dataplex%3A%20Qwik%20Start%20-%20Command%20Line/TechCode.sh
sudo chmod +x TechCode.sh
./TechCode.sh
```