Learn how to build a Tableau Ops Agent that detects refresh drift, guides triage with playbooks, and automates safe fixes with REST APIs — reducing queue spikes, repeat failures, and refresh roulette.
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Community Speaker
Reserved Seating
Video On Demand
Don’t Refresh Your Luck: Build a Tableau Ops Agent
, Founder, Viz Your Data
Role: Administrator, Developer
Product: Tableau
Tableau Product: Developer Platform, Tableau Cloud, Tableau Server
Session Level: Advanced
Session Type: Breakout
- Tuesday, May 52:30 PM - 3:10 PM PDT(9:30 PM - 10:10 PM GMT)Stage 5 | Content Pavilion, Ground LevelRESERVED SEATING
Session Summary: This session focused on leveraging an AI-driven agent to monitor and resolve data refresh failures in Tableau environments, with a strong emphasis on automation and efficiency. The agent uses Tableau APIs, historical job data, and error patterns to establish baselines, detect anomalies, and prioritize fixes based on factors like job history, queue depth, and content importance. Depending on the level of autonomy configured, the agent can either notify stakeholders via Slack, provide corrective plans, or autonomously address issues such as credential errors or scheduling conflicts. The solution also incorporates robust guardrails, including audit logs, dry-run validations, and limited access to ensure transparency and security while improving administrative workflows for Tableau admins and users alike.
Key Takeaways:
• The AI-driven agent can autonomously detect, triage, and resolve Tableau data refresh failures, reducing manual intervention for Tableau admins.
• The agent integrates with Slack for real-time notifications and uses Tableau APIs to monitor job history, detect failure patterns, and prioritize fixes based on content importance and historical usage.
• Built-in guardrails like audit logs, dry-run validations, and restricted permissions ensure secure and transparent operations, making the agent a reliable tool for enhancing Tableau environment management.
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