Blogsby GlyphA Martech Perspective on Databricks’ New CDP Capability
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.
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Fri Oct 302 posts
The Missing AI Layer in Your Iceberg Lakehouse
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.
Thu Oct 294 posts
What does the Braze acquisition by Salesforce mean for the market?
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.
Snowpark Python Supports Native to_polars()
Snowpark Python’s DataFrame.to_polars() is now generally available, bringing Snowflake query results into a Polars DataFrame with a single call.
Budgets, Quotas, and Monitors: The Cost Controls I Map Before Agents Go Wider
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.
The Agent Is Now a Pipeline Step: Keeping CoCo Automations and Cloud Agents Reproducible
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.
Wed Oct 283 posts
From seats to prompts: reclaiming CRM licenses with a governed read model
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.
Snowflake Optima Planning: Cross-Query Performance
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...
Before You Model a Single Table: Data Modelling Questions to Ask for AI Agents in Snowflake
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.
Tue Oct 273 posts
Converting Snowflake Native Tables to Iceberg: Part 2
Part 2 of 2, with the pre-conversion decisions covered in part 1, this article covers conversion execution, data validation, cutover and rollback.
Snowflake’s Managed MCP Server: Building a Chat UI (Part 2)
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...
Snowflake’s Managed MCP Server: Giving AI Assistants a Governed Door Into Your Warehouse (Part 1)
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.
Mon Oct 262 posts
How Writer Keeps Its AI Infrastructure Running with Snowflake Hybrid Tables
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.
From ORGADMIN to Control Plane: Organization Hub, Organization Users, and Premium Views in Practice
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.
Fri Oct 231 post
Snowflake DCM Projects Setup Guide: DCM GitHub CI/CD Pipeline
Every team wants faster deployments. But when you’re managing a production database, speed without control can quickly become a problem.