Snowflake · Engineering blog · 9 a week · 68 posts since Sep 16, 2026
Nov 8
The Expedition lab recordings are on demand. Build along in a free trial account, pass the auto-grader, and earn a badge to share on social media. Missed Snowflake Expedition, or started a lab and didn’t finish?
Nov 6
Streaming tables and materialized views, read in place as Iceberg: the settings that matter, what the logs show, and the Snowflake errors I hit Most guides to reading Databricks from Snowflake start with a plain Delta table.
Nov 6
Caller’s rights, CALLER grants, and the shared objects that refuse to cooperate Most data platforms hit a governance problem right when they start working. The dbt models ship, the semantic views exist, the dashboards render.
Nov 5
Snowflake Semantic Views provide a governed, reusable layer that defines how tables relate, what metrics mean, and who can access what.
Nov 5
At the Expedition 2026 event, Snowflake unveiled a sweeping architectural evolution, transitioning from a cloud data platform into a unified engine for autonomous AI agents, real-time streaming applications, and conversational business...
Nov 5
Data access, training cost, CI/CD readiness, and business needs decide how your models reach production, and shape your environments, your pipelines, and your risk.
Nov 5
Introduction In enterprise data work, the word “ontology” comes up more and more. The idea is to give an AI agent an ontology as the context layer it refers to when it works with company data.
Nov 3
A Snowflake Architect’s guide to designing data that AI agents can actually understand Every few weeks someone asks me the same thing: “We want a Cortex Agent on top of our data.
Oct 30
When Databricks announced that it was launching a CDP product, it created a frenzy of activity on LinkedIn. It was an unusual move that created more questions than answers.
Oct 30
AI Functions in dynamic Iceberg tables: pay the model only for changed rows On Monday, someone improves the summary prompt. It’s a good change: the output is shorter, with no chatty preamble. On Tuesday, the backfill starts.
Oct 29
Salesforce’s journey since ExactTarget Salesforce bought ExactTarget 13 years ago for $2.5B and it has turned out to be a great investment. The product now called Engagement has been drifting towards its end of life for a while.
Oct 29
Snowpark Python’s DataFrame.to_polars() is now generally available, bringing Snowflake query results into a Polars DataFrame with a single call.
Oct 29
Running Snowflake in the Agent Era, Part 3 of 4. The cost_center tag from Part 1 finally earns its keep, and I learn which control actually stops spend and which only tells me about it. Part 1 ended with a query I was proud of.
Oct 29
Running Snowflake in the Agent Era, Part 4 of 4. An agent on a schedule is a pipeline step, and it needs the same review, versioning, and deploy path as everything else.
Oct 28
As Snowflake’s go-to-market engineering team, we build and run the systems our sales and support teams use every day. Like many companies, we gave more people full CRM access than their work required.
Oct 28
TL;DR: Optima Planning already learns from repeated queries. It can now also learn across queries, when a brand-new query shares a plan fragment or join with something that has already run, it reuses that feedback on the very first...
Oct 28
A Principal Architect’s guide to structuring tables, semantic views and business context so agents generate reliable SQL Every few weeks someone asks me the same thing: “We want a Cortex Agent on top of our data.
Oct 27
Part 2 of 2, with the pre-conversion decisions covered in part 1, this article covers conversion execution, data validation, cutover and rollback.
Oct 27
This is Part 2 of a two-part series. In Part 1: Snowflake’s Managed MCP Server: Giving AI Assistants a Governed Door Into Your Warehouse, I built two MCP servers in Snowflake (a Cortex Agent for the ops team and a read-only SQL server for...
Oct 27
This is Part 1 of a two-part series. Here I explain what MCP is, when you need Snowflake’s managed MCP server, and build a full working example on Snowflake.
Oct 26
Aeril Xie, Data Engineer at Writer At Writer, data is at the center of everything we do. As an enterprise AI platform, we route every customer request through LLM inference providers.
Oct 26
Running Snowflake in the Agent Era, Part 2 of 4. Part 1 made compute flexible inside one account. This part is about the one account that sees all the others.
Oct 23
Every team wants faster deployments. But when you’re managing a production database, speed without control can quickly become a problem.
Oct 22
A better Snowflake RBAC Explorer It’s 4:55 PM on a Friday. Someone asks, “Who can see the payroll table?” and you go to Snowflake: Open a worksheet, type SHOW GRANTS Then SHOW GRANTS again Then again Four roles deep, until you’re no longer...
Oct 22
Scheduling an unattended coding agent inside Snowflake is now a few CLI flags. Keeping it honest is the actual work. Here is the architecture we landed on, and the six failure modes that taught us why each guardrail exists.
Snowflake's builder publication: data engineering, apps, Cortex AI and SQL how-tos.
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