Getting Started for Data Engineers

Copy

• Copy for LLM

  Copy page as Markdown for LLMs
• View as Markdown

  Open this page as Markdown
• Open in ChatGPT

  Get insights from ChatGPT
• Open in Claude

  Get insights from Claude
• Connect to Cursor

  Install MCP server on Cursor
• Connect to VS Code

  Install MCP server on VS Code

As a Data Engineer, you are responsible for the data lifecycle within Treasure Data—from ingestion to unification and modeling.

1. Data Ingestion

• Integration Hub: Connect your data sources (S3, Google Analytics, Salesforce, etc.).
• Setup Web Tracking: Set up streaming ingestion.

2. Data Management

• Data Workbench: Run SQL queries and manage databases.

3. Identity Resolution

• ID Unification: Configure rules to stitch user profiles together.

4. Parent Segments

• Parent Segments: Create and manage Parent Segments for Audience Studio.

5. AI & Automation

• AI Agent Foundry: Develop and manage AI agents that utilize your data.

Need Help?

• Contact Support: Learn how to get assistance from our support team.