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The upcoming meetup is about "Automating DataOps Workflows with Proactive Agents". 🚀

DataOps today is still heavily manual: engineers investigate broken pipelines, schema drift, metric mismatches, and downstream failures across warehouses, dbt, orchestrators, lineage tools, and documentation.👾

In this session, Omri, CTO at Upriver, will talk about how proactive agents can help data teams move beyond alert-based monitoring by understanding operational context, investigating issues, tracing root cause, and generating automated fixes. ✳️

📆 Date & Time: July 23rd, 2025 | 09:30 AM PT
🚀 Register here: https://www.linkedin.com/events/automatingdataopsworkflowswithp7480754209483673600/

We’ll also showcase how Upriver maps your data stack to detect issues, trace root cause, and trigger validated fixes before they propagate downstream.

Topics that will be covered:

✅ Automating investigation workflows for freshness issues, schema changes, failed jobs, and metric drift
✅ Using proactive agents to generate fix plans, validate outputs, and create reviewable actions
✅ Generating validated SQL, Python, YAML, and dbt code grounded in your actual data stack
✅ Where Upriver fit into existing DataOps workflows without replacing the current data stack.

Related topics

Artificial Intelligence
Deep Learning
Machine Learning
Data Science
Open Source

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