π° 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.
ποΈ Upcoming Events: Catch Tim Live!
- March 6: LLM Days NYC - NYC Tim Speaking
- March 11: MCP Conference NYC β NYC Tim Speaking
- March 12: Data for Breakfast β NYC Hands on Labs
- May 20: Budapest Data and AI β Budapest, Hungary - Tim Virtual speaking
π Featured Highlight: Tim Spannβs 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.
βοΈ 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.
π€ 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.
π οΈ 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 thatβs gaining serious traction.
- Nixtla: The go-to library for state-of-the-art time series forecasting.
π 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.
π 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 scaleβfrom 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
Β© 2020-2026 Tim Spann https://www.youtube.com/@FLaNK-Stack
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