What types of attributes can be configured?

You can configure Single attributes (latest value), List attributes (distinct values with expiry), Counter attributes (event counts over a time window), and Imported Batch attributes.

How do I validate my RT configuration using this skill?

The skill provides patterns for using the 'tdx ps rt validate' command to check your YAML configuration for syntax errors, duplicate attributes, or missing primary keys.

What is Treasure Data RT 2.0?

Treasure Data RT 2.0 is a low-latency personalization engine that updates user profiles in real-time based on streaming event data, allowing for immediate marketing responses.

Does this skill help with identity resolution?

Yes, it provides detailed patterns for ID stitching, allowing you to define primary keys and stitching keys to link various user identifiers across data sources.

Treasure Data RT 2.0 Configuration

Name: Treasure Data RT 2.0 Configuration
Author: treasure-data

bytreasure-data

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마케팅 자동화

Configures Treasure Data RT 2.0 for real-time personalization, including event tracking, attribute mapping, and identity stitching.

This skill streamlines the setup and management of Treasure Data’s Real-Time Personalization (RT 2.0) engine. It provides domain-specific guidance for defining event tables, configuring complex real-time attributes (like counters and lists), and implementing robust ID stitching for identity resolution. By leveraging the tdx CLI and API patterns, it enables developers and data engineers to quickly deploy low-latency personalization layers for marketing automation, dynamic content delivery, and instant user profile updates based on streaming data.

주요 기능

01Automated RT 2.0 configuration via tdx CLI and API patterns

02Regex-based event filtering for precise real-time data ingestion

03Built-in validation patterns for RT configuration YAML templates

04Advanced ID stitching configuration for cross-device identity resolution

05Support for specialized attribute types: Single, List, Counter, and Imported Batch

0616 GitHub stars

사용 사례

01Implementing frequency capping by counting specific user actions over 7-day or 30-day windows

02Configuring identity resolution to link anonymous web sessions to known customer profiles

03Setting up real-time e-commerce recommendations based on the last product viewed

주요 기능

01Automated RT 2.0 configuration via tdx CLI and API patterns

02Regex-based event filtering for precise real-time data ingestion

03Built-in validation patterns for RT configuration YAML templates

04Advanced ID stitching configuration for cross-device identity resolution

05Support for specialized attribute types: Single, List, Counter, and Imported Batch

0616 GitHub stars

사용 사례

01Implementing frequency capping by counting specific user actions over 7-day or 30-day windows

02Configuring identity resolution to link anonymous web sessions to known customer profiles

03Setting up real-time e-commerce recommendations based on the last product viewed