Data Observability

Build vs. buy: The real token economics of agent observability

I talk to engineering teams from different organizations every day, and many of them are running the same mental model when it comes to large technology projects: build first, then buy when it breaks. For most infrastructure decisions, this is fine; in fact, it is the most rational. You understand your requirements better after building …

Data Observability

Your Data Isn’t as Clean as You Think. Here’s How Data Quality Automation Helps

Your revenue dashboard looks clean. Your pipeline ran green. Everything’s fine. Until your CFO asks why the numbers don’t match the invoice system and now you’re spending your Tuesday reverse-engineering a JOIN that broke three weeks ago. This kind of thing happens because humans are terrible at catching problems in datasets that update thousands of …

Data Observability

How to make Claude a trusted analyst for your whole company

Every data leader is being asked the same question right now: “Can’t we just point Claude at our warehouse and let everyone ask their own questions?” The naive version works for about a week. Then two execs ask the same question and get two different numbers, Claude joins the wrong tables and answers confidently anyway, …

Data Observability

Claude and Cursor Can’t Do Data Right

AI coding agents are writing SQL, building pipelines, and modifying schemas at a pace that would have been unimaginable two years ago. They’re fast, tireless, and increasingly capable. But they lack something every experienced data engineer has: the operational instincts to do data work responsibly. They don’t feel accountable like humans do, and they certainly …

Data Observability

Monitoring Cortex Agent Performance With Trace Data

How to identify and fix agent performance issues using Cortex Agent telemetry

AI Observability

The Memory Problem Changes When Agents Stop Waiting to Be Prompted

Moving from “what should I recall?” to “what should I notice?” and other challenges in building a proactive multi-agent system

AI Observability

Bringing Reliability to Agent Bricks with Monte Carlo

End-to-end data + AI observability for the agents you ship on Databricks.

Data Observability

Know Before You Go: Gartner Data & Analytics Summit EMEA 2026

The premier conference for European CDAOs, heads of AI, and data and analytics leaders is almost here: Gartner Data & Analytics Summit EMEA 2026. With a full schedule of keynotes, breakout sessions, roundtables, and happy hours and dinners after the event, it’s helpful to mark your calendar ahead of time. Luckily, we’ve done the hard …

Data Observability

The Ultimate Guide To Data Lineage

Data lineage is a must-have feature of the modern data stack, yet we're struggling to derive value from it. Here's why and how we can fix this.

Data Platforms

Data Ingestion: 7 Challenges and 4 Best Practices

Data ingestion involves collecting data from source systems and moving it to a data warehouse or lake. Read on for the top challenges and best practices.