Creating a workflow

In Data-flo there are 3 ways to build a workflow.

1. Starting a new workflow from a blank canvas

2. Cloning an existing or shared workflow

3. Importing a .dataflo file

The idea is that you build your workflow so that it can be reused on different datasets or easily repurposed for others to use. To that end, before you start building consider the following:

• What are you trying to accomplish with the workflow?

• Where is the data stored?

• What will you be doing with the data after it's processed?

• Who will be running this workflow once it's built?

• Is there an existing workflow that does part of what you need to do, or does something similar?

Regardless of the method, you will add adaptors to your canvas, link them together via connectors and troubleshoot your workflow to ensure it functions as intended.

Use import, transformation, and export adaptors linked via connectors to create a workflow

Data types

There are 8 different data types in Data-flo, and it's important to keep this in mind when you're connecting adaptors - the data type must be compatible between the output of one and the input of the next adaptor in order to connect them together to create a workflow.

Clicking on an individual input/output/option text in an adaptor will display the data type in the side bar.

Clicking on "original column' shows you in the side bar that it requires a text data type as an input

You can also find compatible adaptors by left clicking on the circle next to the input/output/option of interest and dragging your cursor onto the canvas and releasing. This will bring up all compatible adaptors in the side bar.

Data type	Description
boolean	Represents values that are either True or False. This data type is only used in adaptor options, not as an adaptor input or output.
datatable	Represents tabular data, comprising rows and columns in a grid-like format.
file	Represents the contents of a file, complete with formatting, encoding, and file extension.
graph	Represents connected information including non-linear data such as nodes (vertices) and edges. Often used to represent networks. The graph structure can be directed or undirected.
list	Represents an ordered array of text or numbers treated as text. It does not have a header.
dictionary	Represents a collection of key-value pairs. It is a way to associate one piece of information with another. Keys must be unique. Can contain letters, numbers and symbols.
number	Represents integers and decimal numeric values.
text	Represents a string of alphanumeric characters of any length. Can contain letters, numbers, symbols, URLs and regular expressions (RegEx).