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All Data and AI Weekly #223-05 Jan 2026

Published
3 min read

Edition: January 05, 2026 - 223 | Focus: Agentic AI, High-Performance Streaming, & Snowflake Intelligence

NiFi + AI + AI Data Cloud + Iceberg.

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https://www.reddit.com/r/DataEngineeringForAI/hot/

🌟 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

ProjectDescription
Cortex Agent WidgetA plug-and-play UI component for integrating Cortex agents into your applications.
A2UIAn innovative UI framework for agentic applications.
Performance Tax ReportingReal-time financial reporting demo using modern streaming stacks.
Data HarmonizationA framework for unifying disparate data sources within Snowflake.
SigDiggerDigital signal analyzer for those working at the intersection of hardware and data.

📚 Deep Dives & Guides

💡 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.

🍭 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:

Thanks

https://sessionize.com/tspann

https://github.com/timothyspann

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

https://www.linkedin.com/pulse/all-data-ai-weekly-223-05-jan-2026-tim-spann-wqcte

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Tim Spann is a Principal Developer Advocate for Zilliz and Milvus. He works with Milvus, Towhee, Attu, GPTCache, Generative AI, HuggingFace, Python, Java, A