All Data and AI Weekly #235-30March2026
( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )
Tim's Corner: Cortex Code Everywhere
Welcome to issue 235! This week Snowflake made Cortex Code in Snowsight generally available and shipped native Windows CLI support, Agent Teams for multi-agent orchestration, and a wave of new agent skills. Batch Cortex Search entered public preview for high-throughput offline workloads, Agentic ML landed with Cortex Code for automating the full ML lifecycle, and the engineering team published a deep dive on solving the identifier mismatch problem in multi-engine lakehouses. On the community side, new guides cover dbt pipelines with Cortex Code, Snowflake Postgres migration via logical replication, and quantitative research with AI functions. I've been shipping new SNACK-AI projects all week - including an OSINT toolkit, a Cortex Code cheatsheet, and SnowGhostBreakers Advanced. Let's dive in!
Tim's Content
Recent Presentations
- Beyond the Prompt: Future of AI Data Cloud - March 2026 - Slide deck
- 24 March 2026 Demo Notes - NYC Snowflake Users Group hands-on demo
New SNACK-AI Repositories
| Repository | Description |
|---|---|
| SNACKAI-CoCo-UnstructuredDemos | End-to-end demos for processing unstructured data with Cortex Code and SNACK-AI, including a dev ports example |
| SNACKAI-CoCo-BeyondthePrompt | Companion repository for the Beyond the Prompt presentation on the future of AI in the Data Cloud |
| SNACKAI-CoCo-Snowghost2 | Ghost-busting application v2 built with Cortex Code on Snowflake |
| SNACKAI-CoCo-SnowGhostBreakers-Advanced | Advanced ghost-busting analytics with enhanced detection and investigation workflows |
| SNACKAI-Cortex-Code-Cheatsheet | Quick-reference cheatsheet for Cortex Code commands, skills, and workflows |
| SNACKAI-CoCo-OSINT | Open-source intelligence toolkit built with Cortex Code and SNACK-AI |
Upcoming Events: Catch Tim Live!
- April 14: D4BNA - Virtual US
- April 15: Nodes AI Conference - Virtual
- April 13-17: D4BV - Virtual APAC
- May 20: Budapest Data and AI - Budapest, Hungary - Tim Virtual speaking
All Snowflake Events: https://www.snowflake.com/about/events/
Featured: Cortex Code - Now More Widely Available and Ready for Bigger Tasks
Snowflake published a major update on Cortex Code this week with four key announcements: Cortex Code in Snowsight is now generally available, the CLI now supports native Windows environments, Agent Teams enable coordinated multi-agent orchestration for large tasks, and new agent skills standardize expert workflows for cost intelligence, ML, Streamlit, OpenFlow and more.
Key Highlights:
- Persistent AI coding agent in Snowflake Workspaces and Notebooks
- Agentic coding, discovery, administration and cost management in Snowsight
- Agent Teams spin up parallel subagents with shared task lists and dependency management
- New skills: cortex-code-guide, developing-with-streamlit, openflow, cost-intelligence, machine-learning, cortex-ai-functions
Read more: https://www.snowflake.com/en/blog/cortex-code-snowsight/
Cortex AI & Agents
The Agent Context Layer for Trustworthy Data Agents
Snowflake published a foundational blog on the Agent Context Layer - explaining why "talk to your data" is table stakes and why trustworthy agents need context spanning semantics, identity, constraints, policy and provenance. Internal experiments showed that augmenting agents with a plain-text data ontology improved accuracy by +20% and reduced tool calls by ~39%.
Read more: https://www.snowflake.com/en/blog/agent-context-layer-trustworthy-data-agents/
Agentic ML in Snowflake
Agentic ML through Cortex Code automates the path from data to predictive insights. Data science teams can build production-ready ML solutions from natural language prompts, with skills covering training, deployment, distributed training, hyperparameter tuning, and monitoring. First National Bank of Omaha reports 10x productivity gains.
Read more: https://www.snowflake.com/en/blog/agentic-ml-snowflake-predictive-insights/
Best Practices Guide: https://www.snowflake.com/en/developers/guides/agentic-machine-learning-best-practices-cortex-code/
Batch Cortex Search (Preview)
The CORTEX_SEARCH_BATCH table function is now in public preview. Submit batch queries to a Cortex Search service for offline use cases with high throughput requirements - entity resolution, deduplication, or clustering tasks. Batch search can also query services that are currently suspended.
Resources:
Cortex Code AI Function Studio Skill
New open-source skill for creating, evaluating, and optimizing custom AI functions using Snowflake Cortex AI Complete.
GitHub: https://github.com/Snowflake-Labs/cortex-ai-function-studio-skill
Cortex Code Skills Library
Community-contributed skills library by Kelly Kohlleffel with reusable Cortex Code skills for common workflows.
GitHub: https://github.com/kellykohlleffel/cortex-code-skills
Apache Iceberg Updates
Solving Identifier Mismatch in Multi-Engine Lakehouses
A deep engineering dive into the identifier case sensitivity problem in multi-engine lakehouses. When Spark, Trino, Flink, and Snowflake share the same Iceberg catalog, identifier normalization conventions clash. Snowflake's solution: database-level CATALOG_CASE_SENSITIVITY configuration for catalog-linked databases, supporting both Hadoop-style (case-insensitive) and ANSI SQL-style (case-sensitive) conventions.
Read more: https://www.snowflake.com/en/engineering-blog/solving-identifier-mismatch-multi-engine-lakehouse/
Apache Iceberg from Zero
New comprehensive guide from Snowflake Labs for getting started with Apache Iceberg from scratch.
GitHub: https://github.com/Snowflake-Labs/apache-iceberg-from-zero
Snowflake Platform Updates
Release 10.10 (Mar 22-25)
Key updates in the latest Snowflake release:
-
Interval Data Types (Preview): New
INTERVAL YEAR TO MONTHandINTERVAL DAY TO SECONDdata types for duration calculations -
Batch Cortex Search (Preview): High-throughput batch search via
CORTEX_SEARCH_BATCHtable function - Cortex Updates: See the full list of Cortex updates in the release notes
Full Release Notes: https://docs.snowflake.com/en/release-notes/2026/10_10
Dynamic Table SCHEDULER Attribute (GA - Mar 26)
New SCHEDULER attribute for dynamic tables lets you control whether automatic refresh is enabled or disabled. When SCHEDULER = DISABLE, the table can only be refreshed manually with ALTER DYNAMIC TABLE ... REFRESH - critical for external orchestrators like dbt that need to manage individual refreshes without triggering the entire pipeline.
Read more: https://docs.snowflake.com/en/release-notes/2026/other/2026-03-26-dynamic-table-scheduler-attribute
Block Public Stage Access with IP Exceptions (GA - Mar 20)
Block public access to Azure internal stages while maintaining an allowlist of permitted IP addresses or CIDR blocks via SYSTEM$BLOCK_INTERNAL_STAGES_PUBLIC_ACCESS_WITH_EXCEPTION.
DML Error Logging for Tables
Configure DML error logging for data load operations, capturing failed rows for investigation instead of failing the entire load.
Documentation: https://docs.snowflake.com/en/user-guide/data-load-overview#configure-dml-error-logging-for-a-table
ANOMALY_INSIGHTS: Get Hourly Consumption by Service Type
New method for the ANOMALY_INSIGHTS class providing hourly consumption metrics broken down by service type.
Documentation: https://docs.snowflake.com/en/sql-reference/classes/anomaly-insights/methods/get_hourly_consumption_by_service_type
Snowflake Notebooks in Workspaces
Updated documentation for Notebooks in Workspaces - collaborative, interactive notebooks with container runtime for AI/ML production workflows.
Documentation: https://docs.snowflake.com/en/user-guide/ui-snowsight/notebooks-in-workspaces/notebooks-in-workspaces-overview
Notebook Project Objects (NPO): Run Python Scripts in Snowflake
A new schema-level object type that lets you deploy and run Python scripts non-interactively on a warehouse or compute pool. Write and test locally, deploy as a Notebook Project Object, then run on-demand or schedule with a Task. Supports CI/CD via Snowflake CLI.
Resources:
OpenFlow Updates
OpenFlow Connector for SQL Server
The OpenFlow Connector for SQL Server replicates data from SQL Server databases to Snowflake in near real-time or on schedule using SQL Server Change Tracking. Supports SQL Server 2016-2022, Azure SQL Database, Azure SQL Managed Instance, AWS RDS, and Google Cloud SQL.
Documentation: https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/sql-server/about
From the Community: Medium & Blogs
| Article | Description |
|---|---|
| Building dbt Pipelines with Snowflake Cortex Code | Hands-on guide to building dbt pipelines using Cortex Code as your AI pair programmer |
| How to Build a Governed Metric Registry on Snowflake | Building trusted KPIs for humans and AI with a governed metric registry |
| Open Trust Center Severities in Your Organization | Snowflake SQL guide for querying Trust Center severity findings across your organization |
| What is Cortex Code and Why Does It Matter? | phData's overview of Cortex Code's capabilities and impact on data engineering workflows |
| The Data Engineer's Cortex Code Cheat Sheet | Quick-reference cheat sheet for data engineers getting started with Cortex Code |
| Building an MCP Ecosystem at Pinterest | How Pinterest built an enterprise MCP ecosystem for AI agent integrations |
| Spartera + Snowflake Partnership | New technology partnership announcement between Spartera and Snowflake |
Quickstarts & Guides
| Guide | Description |
|---|---|
| Quantitative Research with AI Functions and Cortex Code | Build quantitative research workflows using Cortex AI functions and Cortex Code |
| Build Real-Time Fraud Detection Model with Natural Language | Build a fraud detection model using natural language prompts in Snowflake ML |
| Supply Chain Assistant with Snowflake Intelligence | Build a supply chain assistant powered by Snowflake Intelligence |
| Intro to Feature Store | Getting started with Snowflake's Feature Store for ML workflows |
| Migrate to Snowflake Postgres Using Logical Replication | Migration guide for moving PostgreSQL workloads to Snowflake Postgres |
| Powering AI-Ready Data Products with HL7 Data | Unpack complex HL7 healthcare data into AI-ready data products |
| Neo4j Fraud Detection on Snowflake | Graph-powered fraud detection with Neo4j and Snowflake |
| Neo4j Manufacturing on Snowflake | Graph analytics for manufacturing use cases with Neo4j and Snowflake |
| Neo4j Subways on Snowflake | Subway route analysis with Neo4j graph analytics on Snowflake |
| Route Optimisation & Vehicle Route Plan Simulator | Build a route optimization and vehicle route planning simulator |
| Cortex Code Cookbook: SiS Dashboard Deploy | Cookbook recipe for deploying Streamlit in Snowflake dashboards with Cortex Code |
| dbt + CoCo Demo | Demo project showing dbt development with Cortex Code |
GitHub: Snowflake Labs
| Repository | Description |
|---|---|
| apache-iceberg-from-zero | Comprehensive guide to getting started with Apache Iceberg on Snowflake |
| snowflake_dcm_projects | Database Change Management project examples and templates |
| cortex-ai-function-studio-skill | Cortex Code skill for building and evaluating custom AI functions |
| blueprint-manager | Blueprint management tool for Snowflake project templates |
| sfguide-powering-AI-Ready-Data-Products-by-unpacking-complex-HL7-data | Companion code for the HL7 healthcare data guide |
| postgres-full-day-training | Full-day training materials for Snowflake Postgres |
Snowflake Postgres
Full-Day Training
Comprehensive training materials for getting started and going deep with Snowflake Postgres.
GitHub: https://github.com/Snowflake-Labs/postgres-full-day-training
BlueBox
Open-source toolkit for Snowflake Postgres workflows and utilities.
GitHub: https://github.com/ryanbooz/bluebox
Data Trends & Resources
Data Trends 2026: Financial Services
Snowflake's report on key data and AI trends shaping the financial services industry in 2026.
Read more: https://www.snowflake.com/en/resources/ebook/data-trends-2026-financial-services/
AI Futures Model
Interactive resource exploring trajectories and scenarios for AI development.
Read more: https://www.aifuturesmodel.com/
How to Enable Tracing and Logging in Power BI Desktop
Community guide for configuring tracing and logging in Microsoft Power BI Desktop with Snowflake connections.
Security
How to Secure Agentic AI: Agent Identity Protocol (AIP)
All Things Open article on securing agentic AI with the Agent Identity Protocol - a framework for establishing trust and identity for AI agents.
Read more: https://allthingsopen.org/articles/how-to-secure-agentic-ai-agent-identity-protocol-aip
Go Implementation: https://github.com/openagentidentityprotocol/aip-go
TeamPCP Supply Chain Attack on LiteLLM
Wiz research on the TeamPCP campaign trojanizing LiteLLM - critical reading for anyone running open-source AI inference proxies.
Read more: https://www.wiz.io/blog/threes-a-crowd-teampcp-trojanizes-litellm-in-continuation-of-campaign
MCP & Agent Tooling
| Tool | Description |
|---|---|
| Agent Browser (Vercel Labs) | Browser automation framework designed for AI agents from Vercel Labs |
| Agent Skill Creator | Framework for creating reusable skills for AI agents |
| x1xhlol/system-prompts-and-models-of-ai-tools | Collection of system prompts and model configurations from various AI tools |
AI Research & Models
Cohere Transcribe
Cohere Transcribe 03-2026 - new speech-to-text model from Cohere Labs.
HuggingFace: https://huggingface.co/CohereLabs/cohere-transcribe-03-2026
MolmoWeb by Allen AI
MolmoWeb - multimodal language model interface from the Allen Institute for AI.
Read more: https://allenai.org/blog/molmoweb
Deer Flow by ByteDance
Deer Flow - agent workflow framework from ByteDance for building complex multi-step AI applications.
GitHub: https://github.com/bytedance/deer-flow
Meetily
Open-source AI meeting assistant for transcription, summarization, and action items.
GitHub: https://github.com/Zackriya-Solutions/meetily
Developer Tools
Terminal & Shell
Data Visualization & Infrastructure
| Tool | Description |
|---|---|
| Terravision | Automated infrastructure visualization from Terraform files |
| MiniStack | Minimal cloud infrastructure stack for development |
Documents & Screenshots
| Tool | Description |
|---|---|
| ProofShot | Screenshot verification and proof-of-work tool |
| RevPDF | PDF reverse engineering and extraction tool |
Frameworks & Libraries
| Tool | Description |
|---|---|
| Yggdrasil | Event sourcing and CQRS framework |
| Keploy | API testing platform that auto-generates test cases from API calls |
| VoidLLM | Lightweight LLM inference engine |
ROI of Generative & Agentic AI
Snowflake published extensive research demonstrating the radical ROI organizations are seeing from generative and agentic AI implementations.
Resources:
Data Sharing & Open Table Formats
Snowflake's vision for data sharing with open table formats enables seamless data exchange while maintaining interoperability across engines and platforms.
Read more: https://www.snowflake.com/en/blog/data-sharing-open-table-formats/
SNACK-AI: The 2026 Pattern
As we look forward in 2026, SNACK-AI is the architectural pattern for powering AI applications at any scale - from mobile phones and robots to massive enterprise clusters.
SNACK-AI integrates:
- Snowflake Platform
- NiFi (Apache)
- Apache Iceberg
- Cortex AI (Agents/Search/MCP)
- Kafka (Apache Kafka)
Deep Dive into SNACK-AI:
- Read: SNACK-AI: The 2026 Pattern (Medium)
- Code: Official SNACK-AI GitHub Repository
- Weekly Context: SNACK-AI Overview
Thanks
https://github.com/timothyspann
Generated with Cortex Code for All Data and AI Weekly - March 30, 2026
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