Datalake - Tagging system

Organizing your Data with Picsellia's DataTag.

In your Organization's Datalake, where all your Data is stored, things can become disorganized after weeks of work – often referred to as "data chaos."

The primary goal of the tools within the Datalake is to assist you in structuring and organizing your Data as needed.

1. Introducing DataTag by Picsellia

Think of a tag as a marker that you can name and connect with different elements in Picsellia. Its primary purpose is to make organizing and locating these elements easier. Since almost everything in Picsellia can have a tag – whether it's a Datalake, a Dataset, and more – the ones linked to the Datalake are called DataTag.

For this page, we're only focusing on the DataTag.

Remember, each piece of Data can have multiple DataTag.

This additional layer of Organization empowers you to create a unique hierarchy for your Data within the Datalake. Even though all your Data is stored in one place, you can still find and navigate through them based on specific DataTag.

🚧

A DataTag is not a label or an annotation

It's only a tool to help you Organizing your Data in Picsellia.

Of course, you can use DataTag in any way that suits your needs, allowing you to build your Datalake structure according to your preferences.

For instance, you might use DataTag to differentiate Data based on their use, source, or purpose (like training or testing).

πŸ‘

DataTag are powerful

You can use the πŸ›Ÿ Datalake - Query Language to retrieve or filter your Data using DataTag.

2. Creating, Editing, and Deleting DataTag

For creating, modifying, or removing a DataTag, you can access the Settings page of your Datalake and go to the Tags tab.

To create a new DataTag, simply click on Add new tag. This adds a new entry to the DataTag list, where you can provide a name and description for the new DataTag.

The DataTag is established when you click the + icon.

Creating a DataTag from "Settings"

Creating a DataTag from Settings

You can also change the name and description of an existing DataTag, or delete it using the trash icon after selecting it.

Deleting a `DataTag`from _Settings_

Deleting a DataTagfrom Settings

3. Attach DataTag to your Data

Once created, there are two ways to attach DataTag to your Data within the Datalake:

πŸ’‘

DataTag Best Practice

It's highly recommended to always attach DataTag when adding new Data to your Datalake.

A. During Data Import into the Datalake

When you're importing Data into your Datalake (whether through direct upload or cloud storage scanning), you have the option to connect one or more DataTag to the incoming Data.

Attaching DataTags during data import

Attaching DataTag during Data import

In this process, after selecting the files to upload, you can select the DataTag you want from the list.

You can also create new DataTag here, like this:

Creating a DataTag during data import

Creating a DataTag during Data import

Once you click Create, the new DataTag gets added to the list and will be connected to the Data you're uploading when you click Upload.

B. Directly Within the Datalake

If you want to attach DataTag to Data that's already in your Datalake, simply select the images you want to tag, and then choose Tag > Attach.

Attaching DataTags to Data

Attaching DataTag to Data

After that, you can link the selected Data to the DataTag you want from the list, and confirm by clicking Attach, like this:

DataTag attachment modal

DataTag attachment modal

And once again, remember that you can also create new DataTag from this attachment modal:

Creating a DataTag within the attachment modal

Creating a DataTag within the attachment modal

4. Visualizing DataTag on your Data

Now that you know how to create and attach DataTag to enhance your Datalake Organization, let's explore how to effectively use these tags to easily locate the specific Data you need within your Datalake.

You can begin by identifying the DataTag associated with each Data entry using the Table or Details views in your Datalake.

Viewing DataTags in Details view

Visualize DataTag in Details view

5. Detach DataTag

If for any reason you need to detach one or several DataTag from a set of Data from your Datalake, you simply need to select the bench of Data that DataTag need to be detached from and click on Tag > Detach.

Select `Data`for detaching `DataTag`

Select Datafor detaching DataTag

A modal will open listing all DataTag attached to any of the selected Data. You just need to click on the DataTag you want to detach from the Data selected and click on the button Detach.

Detach `DataTag`

Detach DataTag