📰 All Data and AI Weekly #230-23 Feb 2026
( AI, Data, NiFi, Iceberg, Polaris, Streamlit, Flink, Kafka, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )
Blizzard!!! So much snow here.
🗓️ Upcoming Events: Catch Tim Live!
- March 6: LLM Days NYC - NYC Tim Speaking
- March 11: MCP Conference NYC – NYC Tim Speaking
- March 12: Data for Breakfast – NYC Hands on Labs
- May 20: Budapest Data and AI – Budapest, Hungary - Tim Virtual speaking
🌟 Featured Highlight: Tim Spann’s Corner
IoT meets Agentic Streams
This week, Tim Spann continues to push the boundaries of real-time data and agentic integration. Two major repositories caught our eye:
- SNACKAI-CoCo-MCP-Server-Integration: A cutting-edge implementation focusing on Model Context Protocol (MCP) server integration. This is a must-watch for anyone looking to build standardized interfaces for AI agents to interact with IoT data streams.
- Snowflake-Initializr: Simplifying the "Day 0" experience for Snowflake developers. This tool streamlines the setup of new projects, ensuring best practices are baked in from the first line of code.
❄️ The Snowflake Deep Dive
Snowflake is moving fast on two fronts: Governance/DevOps and Agentic Intelligence.
Infrastructure & Governance
- Version Control for Semantic Views: Snowflake is bringing software engineering rigor to data modeling. Read more on the Engineering Blog.
- Terraforming Snowflake: A comprehensive guide to managing your data warehouse as code. Check out the Quickstart.
- Cost Management & Anomalies: With new documentation on Cost Anomalies and insights into spending patterns, keeping your cloud spend under control has never been more visible.
- Trust Center Integration: Learn how to Classify UI and leverage the Trust Center to secure your data estate.
The AI Frontier
- Cortex AI + Claude 3.5 Sonnet: The powerhouse model is now integrated into Snowflake Cortex AI, enabling high-reasoning tasks directly within your data platform. Read the announcement.
- Cortex Agents & Web Search: Snowflake agents can now go beyond your internal data to perform Web Searches.
- Observability: Monitor your agentic workflows with the new Cortex Agent Usage History.
🤖 Agentic Ecosystem & Research
The industry is moving toward "World Models" for agents. Here are the key resources released this week:
- Snowflake Agent World Model: Snowflake Labs has open-sourced the code and datasets (1K) for training agents that understand complex environments.
- MIT AI Agent Index: A new benchmark and directory for tracking the capabilities of the world's leading AI agents.
- AgentSkills.io & Vercel Skills: Frameworks for defining and deploying the specific capabilities (skills) that agents use to interact with the world.
🛠️ Developer Tooling & Data Movement
- Netflix Data Bridge: A fascinating look at how Netflix simplifies massive data movement across their infrastructure.
- Liquibase Secure 5.1: Change control for Snowflake is getting a security boost.
- PostgresGUI.com: A new, streamlined way to manage your Postgres instances.
- WebMCP: Bringing the Model Context Protocol to the browser.
Notable Repositories
- AirLLM: Run large models on consumer hardware with extreme memory efficiency.
- OpenObserve: A cloud-native observability platform that’s gaining serious traction.
- Nixtla: The go-to library for state-of-the-art time series forecasting.
📈 Careers & Growth
- From BI to AI: Jimish Kadakia shares a roadmap for evolving from a BI Developer to a Solutions Architect in the age of Snowflake and AI.
Stay curious, keep streaming.
🍭 2026: SNACK-AI
As we look forward in 2026, we are introducing SNACK-AI. This architectural pattern is designed to power AI applications at any scale—from mobile phones and robots to massive enterprise clusters.
SNACK-AI integrates:
- Snowflake Platform
- NiFi (Apache)
- Apache Iceberg (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
© 2020-2026 Tim Spann https://www.youtube.com/@FLaNK-Stack
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