What types of attributes can I configure with this skill?

You can configure single value attributes, distinct lists with expiry, counter attributes with time windows, and imported batch attributes from parent segments.

Does this skill support PII data handling?

Yes, it includes sensitivity labeling for attributes, allowing you to mark data as 'sensitive' or 'non-sensitive' for privacy and compliance tracking.

Is it necessary to configure events before attributes?

Yes, events must be defined in the event tables first before they can be used as sources for real-time profile attributes.

How do I validate my attribute configuration?

The skill provides instructions for using the 'tdx ps rt validate' command to check for naming conflicts, valid event references, and correct aggregation types.

Can I use this for rolling time-window calculations?

Absolutely. The counter attribute type supports windows of 24 hours, 7 days, 30 days, or 90 days for event counts and field sums.

Real-Time Attribute Configurator

Name: Real-Time Attribute Configurator
Author: treasure-data

bytreasure-data

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마케팅 자동화

Configures real-time and batch attributes for profile enrichment and behavioral tracking in Treasure Data RT 2.0.

This skill streamlines the process of defining and managing customer profile attributes within Treasure Data's Real-Time 2.0 engine. It provides standardized patterns for implementing single, list, and counter attributes, enabling developers to capture behavioral data like most recently viewed products, 30-day activity lists, or rolling event counts. By facilitating precise YAML configurations and API interactions, it ensures consistent data enrichment for real-time personalization, journey triggers, and identity stitching workflows.

주요 기능

01Integrated validation workflows to check for duplicate names and invalid event references.

02Support for multiple attribute types including Single, List, Counter, and Imported Batch.

03Configuration of time-windowed aggregations for rolling counts and sums from 24h to 90d.

04Automatic handling of PII via sensitivity level labeling for compliance tracking.

05Implementation of distinct value lists with customizable item limits and expiry dates.

0616 GitHub stars

사용 사례

01Monitoring content consumption patterns for media personalization and favorite category tracking.

02Tracking e-commerce behaviors such as last viewed products and rolling 30-day spend.

03Managing SaaS user engagement metrics like feature usage frequency and last login timestamps.

주요 기능

01Integrated validation workflows to check for duplicate names and invalid event references.

02Support for multiple attribute types including Single, List, Counter, and Imported Batch.

03Configuration of time-windowed aggregations for rolling counts and sums from 24h to 90d.

04Automatic handling of PII via sensitivity level labeling for compliance tracking.

05Implementation of distinct value lists with customizable item limits and expiry dates.

0616 GitHub stars

사용 사례

01Monitoring content consumption patterns for media personalization and favorite category tracking.

02Tracking e-commerce behaviors such as last viewed products and rolling 30-day spend.

03Managing SaaS user engagement metrics like feature usage frequency and last login timestamps.