Data flow: No-code data preparation for analytics and AI

Qlik Cloud Analytics is introducing Data Flow, a native no-code capability to simplify the last mile of data preparation for analytics, machine learning, and AI. Data Flow offers intuitive drag-and-drop interfaces for visually combining and shaping datasets, balancing self-service functionality with proper governance. This approach aims to democratize data preparation while maintaining data integrity and security.

Key features:

• Visual editor: An intuitive drag-and-drop experience for creating data preparation flows. Load data from your catalog or connection sources and output files in formats such as QVD and PARQUET, ready for analytics and AutoML applications.

• No-code processors: A rich palette of processors allows you to cleanse and shape your data, including data manipulation operations such as string, number, date and cleansing functions, and re-structuring capabilities such as joining, aggregating, and filtering data.

• Data preview: Preview a sample of the actual data output at each step of your flow, ensuring accuracy and full visibility throughout the process.

• Script generation: Automatically generates Qlik script that you can preview for transparency and to familiarize yourself with the syntax. For more advanced use cases, include custom scripts with the “Qlik script” processor or script expressions using the “Calculate fields” processor. You can also convert a data flow into an editable script for further customization.

• Platform integration: Data flow is a fully integrated asset available in Analytics activity centers, leveraging spaces, lineage, and impact analysis to support collaboration and governance. Like scripts or analytics apps, data flows can be run and scheduled to streamline your end-to-end analytics workflows.

Loading and preparing data with data flow