Qeasy DataHub product usage and developer documentation
7 articles
Business Data Modeling (Response Data Strict Mode) is used to standardize the data types of API request parameters. Once enabled, Qeasy DataHub enforces strict type validation (integer, float, boolean, etc.). When disabled, all request data is treated as string by default. This guide covers its use cases, configuration path, and key considerations.
This article describes how Qeasy DataHub incrementally syncs personnel changes (name, contract company, etc.) from an HR system to DingTalk contacts. Using dingtalk_user_id as the unique identifier, the solution adopts a 15-day buffer incremental strategy with staggered scheduling to ensure that active and bound employee information is reliably delivered to DingTalk extension attributes.
Qeasy Data Integration Platform delivers comprehensive data lifecycle management capabilities, covering the full process of data ingestion, processing, archiving, and deletion. DataHub enables enterprises to standardize integration data management through configurable policies and automated execution, reducing storage costs while meeting compliance requirements.
This article systematically explains the special operation configurations for source platforms in the Qeasy DataHub data integration platform, focusing on the two core mechanisms: flattening multi-dimensional data and queueing. Through four dimensions—feature overview, typical scenarios, configuration instructions, and precautions—it helps engineers quickly master the implementation paths for flattening multi-dimensional form data and controlling data write order, improving the stability and maintainability of data integration pipelines.
The Custom Data Processing Factory is a programmable extension capability provided by the Qeasy Data Integration Platform (DataHub) at key points in the data flow lifecycle. It covers five lifecycle hooks—from source ingestion to target push—allowing users to rewrite, supplement, or split data through PHP code. It addresses complex business requirements such as field recalculation, entry appending, and reverse auditing, thereby enhancing integration flexibility and controllability.
This article explains how Qeasy DataHub enables visual solution design to synchronize product master data from an upstream ERP to a downstream eCommerce WMS as SKU records. It covers sync modes, field mapping, TRANSFORM expressions, code-mapping extensions, and scheduling timing recommendations to help users quickly build maintainable product master data integration pipelines.
The Qeasy DataHub provides a formatResponse custom function that allows users to transform fields returned from source systems into various formats, including date, amount, long text, numeric precision, and array, enabling rapid generation of new fields aligned with business requirements.
