📰 All Data and AI Weekly #228-09 Feb 2026
📰 All Data and AI Weekly #228-09 Feb 2026
( AI, Data, NiFi, Iceberg, Polaris, Streamlit, Flink, Kafka, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )
🛠️ Tim Spann's Latest Projects & Content
Spotlight on real-time intelligence, sensor applications, and upcoming global events.
📝 Recent Articles & Deep Dives
Building a Real-Time Agentic AI Sensor Application with Cortex Code – A guide to leveraging Cortex for sensor-driven intelligence.
Real-Time Traffic Analysis Engine – Using Snowpipe Streaming and Cortex AI for urban data.
Aviation Intelligence Deep Dive – Exploring the SNACK AI for ADSB.
💻 Open Source & Repositories
SNACKAI-CoCo-ADSB – Real-time aviation tracking.
NYC Camera – Real-time camera data feeds.
TradesRealtime Streamlit App – Visualizing live trades.
GreenplumToSnowflake – Migration and integration utility.
OpenAI Guardrails – Safety and structure for LLM outputs.
SNACKAI-CoCo-Meshtastic – Off-grid messaging and sensor integration.
🗓️ Upcoming Events: Catch Tim Live!
March 11: MCP Conference – NYC
March 12: Data for Breakfast – NYC Labs
May 20: Budapest Data and AI – Budapest, Hungary
📚 The Curated "Stuff" List
A collection of the most important updates in the world of Data Engineering and AI.
🤖 Agentic AI & LLM Breakthroughs
Claude 4.6 is here: Anthropic announces Claude Opus 4.6 and its immediate integration with Snowflake Cortex AI.
Evaluation Frameworks: Check out the GPA Framework for AI Agent evaluation and how to evaluate Text-to-SQL agents using TruLens.
Agent Best Practices: Building Cortex Agents, Agentic AI Management, and the TensorStax acquisition.
Ergonomics: Wes McKinney on Agent Ergonomics.
❄️ The Snowflake Ecosystem
Snowflake Postgres: The big news of the month. Read about Getting Started with Snowflake Postgres and why pg_lake matters for open standards.
Cortex Code: Understand what it is and why it matters.
Iceberg & Interoperability: Building an Interoperable Lakehouse with AWS Glue and querying Iceberg using external engines.
Observability: Snowflake acquires Observe to boost AI-powered monitoring.
🛠️ Developer Tools & Tutorials
ML Workflows: Production ML Workflows and Fine-tuning LLMs with ArcticTraining.
Semantic Layer: Semantic View Autopilot and the Zero to Semantics lab.
Python & Notebooks: Snowpark Connect in Jupyter and the Gemini Kit.
Automation: Loco for Cortex Code.
🌐 Open Standards & Industry News
Open Semantic Interchange (OSI): Specs are finalized.
Moltbook: A new resource for modern data practitioners.
Quality Code with AI: Best practices for the AI-assisted developer.
Stay tuned for more updates in the next issue!
🍭 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:
Weekly Context: SNACK-AI Overview
Thanks
https://github.com/timothyspann
© 2020-2026 Tim Spann https://www.youtube.com/@FLaNK-Stack
