All Data and AI Weekly #223-05 Jan 2026
( AI, Data, NiFi, Iceberg, Polaris, Streamlit, Flink, Kafka, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )
Edition: January 05, 2026 - 223 | Focus: Agentic AI, High-Performance Streaming, & Snowflake Intelligence
NiFi + AI + AI Data Cloud + Iceberg.

https://www.reddit.com/r/DataEngineeringForAI/hot/
The Agentic Data Era
Code and Open Source Projects
https://github.com/tspannhw/TrafficAI/tree/main/Agents
https://github.com/tspannhw/conferences
🌟 Top Story: The Rise of Agentic AI Foundations
The industry has reached a turning point in AI orchestration. The Linux Foundation has officially announced the formation of the Agentic AI Foundation, a move designed to standardize the way autonomous agents interact, reason, and execute tasks.
In parallel, the ecosystem is rapidly maturing with tools like Goose—an open-source AI agent that enhances developer productivity—and Unblink, signaling a shift from simple "Chatbots" to proactive "Agents" that live within our IDEs and data stacks.
❄️ Snowflake Spotlight: Engineering the Modern Data Fabric
High-Performance Streaming & Iceberg
Snowflake's architecture is evolving to prioritize open standards and real-time ingestion.
- Snowpipe Streaming to Iceberg: New architectural guides highlight how to achieve high-performance streaming directly into Iceberg tables, combining the agility of streaming with the portability of open formats.
- Dynamic Tables 2026 Guide: Master zero-copy backfills and dual virtual warehouse strategies to optimize your transformation pipelines.
- CDC Simplified: A new developer guide walks through building streaming data pipelines using CDC, Snowpipe Streaming, and Dynamic Tables.
The Agentic Intelligence Layer
Snowflake is no longer just a data warehouse; it is an agentic platform.
- Cortex Agent Evaluations: With the new GPA Framework, teams can now quantitatively measure the performance of AI agents.
- Multi-Agent Orchestration: Learn to build complex systems using Snowflake Intelligence to orchestrate multiple agents for RAG (Retrieval-Augmented Generation) and FSI applications.
- Managed MCP for Cortex: Developers can now leverage the OpenAI SDK alongside Managed Model Context Protocol (MCP) to give Cortex agents even more context.
🛠️ Developer Corner: New Repos & Tools
| Project | Description |
|---|---|
| Cortex Agent Widget | A plug-and-play UI component for integrating Cortex agents into your applications. |
| A2UI | An innovative UI framework for agentic applications. |
| Performance Tax Reporting | Real-time financial reporting demo using modern streaming stacks. |
| Data Harmonization | A framework for unifying disparate data sources within Snowflake. |
| SigDigger | Digital signal analyzer for those working at the intersection of hardware and data. |
📚 Deep Dives & Guides
- Financial Services (FSI): Build an AI Assistant for FSI using AI-SQL.
- Supply Chain: Analyze logistics data using Snowpark Connect for Apache Spark.
- Insurance: Explore the Insurance Claims Agent reference architecture.
- Well-Architected Framework: Updated chapters on Reliability and Cost Optimization/FinOps.
💡 Expert Perspective: SAP & Snowflake
The integration between SAP and Snowflake is "ringing in the new year" with a unified, AI-ready agentic data fabric. This partnership allows enterprises to bridge the gap between operational ERP data and analytical AI agents, creating a seamless flow from business process to automated insight.
🚀 Quick Links
- Snowflake OpenFlow & SPCS Deployment Guide
- Extracting Insights from Multimodal Data
- Whitepaper: Snowflake Ingestion Strategies
🍭 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
Top comments (0)