Loading and preparing data with data flow

This documentation applies to the pre-release state of the data flow capability. Data flows are still actively in development at the time of this preview, and some of the current bugs and know issues will be fixed during the Early Adopter Program phase.

A data flow is an intuitive no-code experience that allows you to create a visual flow to prepare data.

Place your source datasets on the canvas, and use a variety of processors to combine and shape your data in order to produce clean datasets for your Analytics apps or ML experiments.

At each step of your data flow, you can preview a sample of the actual data that will be output, as well as the script that is generated in parallel.

Prerequisites

Depending on your license model, the main requirements and information to know before using a data flow are the following.

Capacity-based model

The required entitlement is Full user.
You need the Private Analytics Content Creator role to create a data flow in a personal space.
In terms of pricing, using data flows will consume data capacity.
The use of data flow relies on Qlik engine, and the reload limitations apply.

User-based model

The required entitlement is Professional user.
You need the Private Analytics Content Creator role to create a data flow in a personal space.
The use of data flows is included in the pricing.
The use of data flow relies on Qlik engine, and the reload limitations apply.

Revision history

This documentation was last updated on November 28th 2024.

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