- Snowflake Cortex Agents: Structured and Unstructured Data
- AI-Powered Data Engineering with Model Context Protocol
- Snowflake Openflow Overview
- MS Fabric with Snowflake to PowerBI
Snowflake Cortex Agents: Structured and Unstructured Data
Enterprise AI faces a fundamental trust problem. While language models generate fluent responses, users increasingly question whether those answers are actually true. The solution is not more sophisticated text generation. Instead, the answer is intelligent orchestration of verified data sources with quality measurement. Snowflake Cortex Agents solve this through a three-tier architecture that automatically routes…
AI-Powered Data Engineering with Model Context Protocol
The data engineering landscape is undergoing a transformative shift. As organizations race to harness the power of AI agents to automate data flows and generate insights. How do you speed up data engineering to deliver data quality to meet the demands of AI projects? The same tool that can enable AI Agents to connect to…
Snowflake Openflow Overview
Snowflake Openflow is an integration platform designed to bridge the gap between diverse data sources and destinations by leveraging hundreds of processors. It supports both structured and unstructured data types, such as text, images, audio, video, and sensor data, making it ideal for a wide range of applications. Built on Apache NiFi, Openflow empowers organizations…
MS Fabric with Snowflake to PowerBI
Apache Iceberg is a table format for large analytical datasets offering high performance and ACID compliance. Supported by Snowflake and Azure, it enhances data interoperability, implementation speed, and integrated data lake performance. Microsoft OneLake allows shortcuts to Iceberg tables via metadata virtualization, generating Delta Lake metadata for seamless use across Fabric workloads.
Ross McNeely 