All Data and AI Weekly #227-02 Feb 2026

( AI, Data, NiFi, Iceberg, Polaris, Streamlit, Flink, Kafka, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )

( AI, Data, NiFi, Iceberg, Polaris, Streamlit, Flink, Kafka, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )

🛠️ Tim's Latest Projects & Content

Here is the latest from the lab, focusing on Real-time AI, Edge Computing, and Data Lakehouses.

📈 Real-Time Finance & Dashboards

Read: Real-time Stock Analysis with Snack AI: Streaming Finnhub Data to Snowflake

• Code: SLACKAI-CoCo-MTABusDashboards

🤖 Intelligent Slack Pipelines

Read: Transforming Slack into an Intelligent Data Pipeline with Snowflake OpenFlow & Cortex AI

• Code: SLACKAI-SlackImages

❄️ Iceberg & Trino Interoperability

Read: Bridging Data Lakes: Querying Snowflake Managed Iceberg Tables with Trino

• Code: Trino to Snowflake Iceberg REST Interface

🌩️ IoT: Edge to Cloud Weather Streaming

Read: From Edge to Cloud: Real-Time Weather Streaming with Raspberry Pi and Snowflake

• Code: RPI Weather Streaming

• Code: SNACKAI-CoCo-Weather

• Code: SLACKAI-CoCo-AirQuality

🏰 The Open Lakehouse

Read: Building an Open Lakehouse: Integrating Snowflake with AWS Athena and Apache Iceberg

• Code: Snowflake Open Lakehouse (Athena & Iceberg)

🏎️ NVIDIA Edge AI

Read: NVIDIA Orin Edge AI Data Streaming to Snowflake

• Code: Nvidia Streaming Projects

📚 The Curated "Stuff" List

A collection of interesting repositories, articles, and tools found around the ecosystem.

❄️ Snowflake, Cortex & Data Engineering

• Deep Dive Series: Ontology on Snowflake

  • Part 1: Overview and Data Model

  • Part 2: Semantic Models

  • Part 3: AI-Powered Intelligence

  • Repo: Ontology on Snowflake

• Agents & AI in Snowflake

  • Best Practices for Building Cortex Agents

  • Cortex Agents MCP Guide

  • Multi-Agent Orchestration with Snowflake Intelligence

  • Repo: Cortex Agent A2A

  • Repo: Claude Code Snowflake Cortex API

  • Repo: Snowflake AI Functions Playground

• Architecture & Migration

  • Migrating Snowpipe Streaming Architecture

  • Snowflake Dynamic Tables Data Pipeline

  • Ingest Data from Kafka on AWS into Snowflake with Snowpark

  • Mastering Snowflake SQL REST API (JWT/PAT Auth)

  • DevOps, DCM, Terraform & GitHub Guide

  • Snowflake Commitment to Iceberg Interoperability

  • Bringing AI Analytics to Lakehouses

  • OAuth for Local Applications

🤖 Generative AI, LLMs & Agents

• Frameworks & Tools

  • Open Semantic Interchanges Specs Finalized

  • Repo: Open Semantic Interchange (OSI)

  • AllenAI: Open Coding Agents

  • GetStream: Vision Agents

  • OpenHands CLI

  • LiteLLM Documentation

  • LangChain-Snowflake on PyPi | GitHub

  • PolyMCP

• NVIDIA & Earth Science

  • NVIDIA Earth-2 High Performance Computing

  • Repo: Earth2Studio

🛠️ Developer Tools & Utilities

• Observability & Debugging

  • Dockerfile Doctor

  • pg_tracing (DataDog)

  • Voiden

• Web & Productivity

  • Awesome Ralph

  • WebRockets

  • Timestation

  • ClearCam

  • GitHub Spec Kit

🌐 APIs & Fun Resources

• Free Public APIs List

• MeowFacts API

• IPLocate

📰 Community Highlights & Extra Reads

Frameworks & Hackathons:

• Structured Streamlit Framework: From Chaos to Compliance

• Unlocking Geospatial Analytics with Snowflake & Streamlit

• OceanX Snowflake Hackathon Project

• TetrisBench

• Agents that Drive Business Outcomes

• Oshri Maidanik on Medium

📺 Watch:

• YouTube: Video Link

• YouTube: Video Link

🔗 Social & Quick Links:

• Link 1 | Link 2 | Link 3

• Link 4 | Link 5 | Link 6

• Link 7 | Link 8 | Link 9

• Link 10 | Link 11 | Link 12

• Link 13 | Link 14 | Link 15

Note: LangChain/LangGraph is highly recommended for stateful, multi-step agent workflows and RAG.

🍭 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://sessionize.com/tspann

https://github.com/timothyspann

© 2020-2026 Tim Spann https://www.youtube.com/@FLaNK-Stack