All Data and AI Weekly #206: 08 Sept 2025
All Data and AI Weekly
( AI, Data, NiFi, Iceberg, Polaris, Streamlit, Flink, Kafka, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )
#206: 08 Sept 2025
https://bsky.app/profile/paasdev.bsky.social
NiFi + AI + AI Data Cloud + Iceberg.
https://www.reddit.com/r/DataEngineeringForAI/hot/
Monthly NYC and Youtube Events
Code and Open Source Projects
AWS New York Summit
https://github.com/tspannhw/conferences/tree/main/2025/awsny
Hex + Snowflake Hackathon
https://github.com/tspannhw/hackathons/tree/main/2025-07-15
Apache NiFi + AI Agents + Cortex AI + Snowflake AISQL
https://github.com/tspannhw/TrafficAI/tree/main/Agents
https://github.com/tspannhw/transit-ridership
https://github.com/tspannhw/conferences
https://github.com/tspannhw/hackathons/tree/main/2025-07-15
This Week’s Highlights
- Building Smarter AI Agents with MCP Connector: An insightful article from InfoQ explores the role of the MCP (Multi-Modal Connector Protocol) connector in building smarter, more modular AI agents. It details how this connector facilitates interoperability and enhances AI agent capabilities.
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Creating Stock Market Reports with GPT-5 and Agents: Learn how to create dynamic stock market reports in under 200 lines of code using OpenAI’s GPT-5, the Agents SDK, and the Polygon.io MCP server. This Polygon.io blog post demonstrates a practical application of AI agents for data analysis.
Featured Projects
We’re highlighting two of our recent projects this week. Take a look and see how they can be used to streamline your data workflows.
- Weather-Snowflake: This project demonstrates how to ingest weather data into Snowflake, providing a practical example of building a data pipeline for external data sources.
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Example-RSSToCSV: A straightforward utility for converting RSS feeds into a CSV format. This is a great tool for anyone looking to easily process and analyze data from news feeds and blogs.
Interesting Reads & Repositories
- Consuming APIs Securely in Snowflake: A Snowflake blog post detailing best practices for securely integrating external APIs into your Snowflake workflows.
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Understanding Apache Fluss: A deep dive into the architecture and concepts of Apache Fluss from Jack Vanlightly.
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Adaptive Cortex Complete: This repository combines machine learning with Snowflake LLMs for advanced data processing.
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VibeVoice: Check out this Microsoft project for realistic, expressive voice synthesis.
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Introducing EmbeddingGemma: A new open model for text embeddings, now available on the Google Developers Blog.
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Augmenting Data in Pipelines with NLP: This Medium article provides insights on how to enhance data pipelines with Natural Language Processing.
Upcoming Events & Webinars 🗓️
- The Path to Production-Ready AI Agents: A Snowflake event to discuss deploying AI agents at scale.
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Virtual Hands-on Lab: Build an LLM-Powered App: Learn to build a full-featured LLM app in under 10 minutes with Snowflake Cortex AI.
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Unlock Actionable Insights from Unstructured Data with Cortex AI: A customer webinar showing how to use Cortex AI to gain insights from unstructured data.
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Build Data Engineering Pipelines using Snowpark: A hands-on lab on building data pipelines in Snowflake Notebooks.
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Build and Democratize AI-Ready Data Products in Snowflake: A virtual hands-on lab focused on creating and sharing AI-ready data products.
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What’s New in Snowflake: A product demo highlighting new features and capabilities in the Snowflake platform.
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Snowflake Summit Wrap-Up: Sep 9 Virtual Summit.
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Data and AI Leadership Forum: Join industry leaders to discuss the future of data and AI.
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Bloomberg Technology Summit London 2025: A premier event for technology leaders and innovators.
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Financial Services Builders Series EMEA: A webinar series for developers in the financial services industry.
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Effortless Data Integration for AI: A Technical Deep Dive of Snowflake OpenFlow: A webinar on leveraging OpenFlow for your AI data integration needs.
Videos & Webinars 🎥
Thanks
https://github.com/timothyspann
© 2020-2025 Tim Spann https://www.youtube.com/@FLaNK-Stack