In this video we show how to create a graph representing all operations occurred in a workflow related to a specific datacube, exploiting the capabilities of the Data Analytics Terminal output renderer.

In this video we show all the different types of output rendering provided by the Data Analytics Terminal.

In this video we show how the Data Analytics Terminal renders the same table in windows of different width.

In this video we show how to call an operator through the Data Analytics Terminal in synchronous and asynchronous mode.

In this video we show how to navigate and populate the PDAS virtual filesystem with folders and containers. All operations are performed using some of the pre-defined aliases available in the Data Analytics Terminal environment.

This video shows how the Data Analytics Terminal can automatically update all operators definitions at start-up as well as resume the last session (together with the last directory and datacube) the user was connected to. As concerns operators definitions, it is also shown how to force an update through the command “update”.

This video introduces the concept of sessions and shows how to switch between them from within the Data Analytics Terminal.

In this video we show how to set a file like bashrc in order to automatically pass user-defined variables and aliases to the Data Analytics Terminal at start-up.

In this video we show how to create a new alias and how to successfully use it in a command launched through the Data Analytics Terminal.

In this video we show how to create a new environment variable and how to successfully use it in a command launched through the Data Analytics Terminal.

This video shows a simple workflow composed of a series of operations on multidimensional data. In this example we use random generated data with latitude, longitude and time dimensions and we compute the maximum value of the specified measure on all time steps.

In this video we show how to exploit the autocompletion feature of the Data Analytics Terminal to speed-up the user typing speed.

In this video we show how to set a file like bashrc in order to automatically pass useful parameters to the Data Analytics Terminal at start-up.

In this video we show how to use the manual in order to understand the behavior and parameters of each available operator.

This video shows a Data Analytics Terminal option useful for a non-interactive submission of commands.

This video shows a basic use case consisting in starting the Data Analytics Terminal, calling an operator and then closing the application.