The Tag Factory offers a comprehensive tag development and service platform tailored for enterprise data R&D teams and developers. It streamlines the entire process from tag creation to deployment, catering to a variety of scenarios such as risk control and marketing. The platform supports offline, real-time, and service tag development, along with management, exploration, and application, thereby enhancing business applications and facilitating the efficient accumulation, discovery, utilization, and management of tag assets.
Prerequisites
The Tag Factory value-added service must be purchased, and the current tenant must have the Tag Factory module activated.
Limits
Supported offline computing engines by the Tag Factory include MaxCompute, CDH6.x Hadoop, CDH5.x Hadoop, FusionInsight 8.x Hadoop, TDH 6.x, ArgoDB, and Cloudera Data Platform 7.x.
When using CDH6.x Hadoop, CDH5.x Hadoop, or TDH 6.x as the offline computing engine, only the open-source Flink real-time computing engine is supported for real-time task development.
Feature introduction
Dataphin Tag Factory leverages the foundational support of offline and real-time (stream) computing engines, along with data services. It encompasses key functionalities like tag creation, tag retrieval, audience segmentation, and service deployment.
Business planning
Entity creation: The Tag Factory follows the OLT model for entity modeling, which includes Object, Link, and Tag. You can create business entities in the Tag Factory and bind them with IDs (i.e., descriptions of entities from different perspectives) to achieve mapping relationships between entities and IDs, such as user numbers, employee numbers, and user mailboxes.
ID Creation: This involves defining ID types linked to entities, such as phone numbers and mailboxes related to consumers and merchants.
Tag development
Defining a Dataset: Prior to tag development, you can establish dataset definitions via data sources. Datasets enable preprocessing of data sources, including setting the timestamp range and determining which columns to display.
Behavior Relationship: This defines the interactions between entities through specific behaviors, such as a user purchasing goods, which links the user and goods entities through the behavior purchase. These defined behavior relationships can be leveraged for developing behavior statistics and preference-type tags or for audience group selection.
Tag processing: Tags are a form of data used to describe the characteristics of business entities. The Tag Factory supports creating offline,real-time,service, and advanced types of tags.
Audience group selection
Classify tags, analyze behavioral relationships, and segment audience groups according to specific criteria for precise targeting and in-depth analysis of the target audience. For instance, users under 18 are classified as part of the minor user group.
Service application
Asset Market: This feature is used to manage tags and groups developed on the workbench and to list them in the market.
Asset Application: This allows for the management of tags and groups requested from the market and the services created.
Tag factory entry
To access the Tag Factory, click on the Tag option in the top menu bar on the Dataphin home page. By default, this will take you to the asset market page of the Tag Factory.