Working with Dataset environments

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Working with Dataset environments

Overview

When having created a Dataset, you automatically get different instances of that Dataset in 3 default environments (Development, testing and production), as described at: Creating a dataset.

This section describes how to use and manage different Dataset environments.

 

Default and custom environments

Notice that it is intended for you to use each accordingly, in the sense that when setting up the data feed to this Dataset from Bizagi processes, you should ensure that each Dataset environment is connected solely to the matching environment type of Bizagi processes.

For instance, this would mean having Bizagi processes in the development environment send data to the Dataset development environment. And similarly, having Bizagi processes in the testing environment send data to the Dataset testing environment (and the same treatment for the production environment).

The 3 default environments provided for a Dataset cannot be deleted.

 

In case of wanting to use additional environments, or to explore with them without mixing up sets of data of different nature, you may choose to create any number of custom environments.

To create custom environments, click the icon to the rightmost part for a Dataset, and select New environment:

 

Cloud_Datasets_Newenv

 

Once you give it a Name and meaningful Description, click Create environment.

And that's it.
At this point, your new Dataset environment will be presented along with the default ones, and you may use it as you would do with the others and as described in the section below.

 

To delete a custom environment, click on the Trashcan icon and choose the Delete [environment_name] option:

 

Cloud_Datasets_Delete

 

Notice you may also delete all custom environments at once.

 

Using environments

Click on the icon representing the environment which you want to use for a given Dataset:

 

Cloud_Datasets10alt

 

For that environment, you may notice you get descriptive information in the upper part, and you are presented with 3 tabs: General information, Explore Data and Security & Connectivity.

 

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Refer to the information below about each tab.

 

General information:

Presents the columns composing the structure of the Dataset, along with the Data type of each column.

Note that you may not modify such definition.

In order to define a new structure for a Dataset, you will need to create a new Dataset.

 

Explore Data:

Allows you to take a quick view at the data you have stored so far in that Dataset environment.

It also provides an option for you to do an initial data load (from a .csv file), either if you will be using the Dataset to obtain reports on historical data you already have, or if you want to populate the Dataset and then continue to feed it from processes.

 

For an initial data load, click on the Select a csv button:

 

Cloud_Datasets8

 

Upload such type of file from its location:

 

Cloud_Datasets_Def1

 

Once initial data is loaded,  you may take a quick look at it, and use the below paging control to browse the results across the different pages.

 

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Security & Connectivity:

Provides you access keys and URL endpoints so that you can both: feed this Dataset with data incoming from the execution of cases (per instance of business process), or consume the data stored in this Dataset from another application such as a reporting tool.

To learn more about these options refer to the links below.

oView how to configure your Bizagi processes to send data to the Dataset, at Connecting Bizagi processes to feed the dataset.

oView how to consume the Dataset from other applications, at Consuming the dataset from external applications.