- Almost a Decade in and I Passed the Snowflake SnowPro Core Certification
- Snowflake Cortex Agents: Structured and Unstructured Data
- AI-Powered Data Engineering with Model Context Protocol
- Snowflake Openflow Overview
- MS Fabric with Snowflake to PowerBI
Almost a Decade in and I Passed the Snowflake SnowPro Core Certification
Eight years of hands-on Snowflake experience still didn’t mean the SnowPro Core exam would be easy. In this post, I break down the study resources that got me to a passing score official docs, Udemy courses, and hundreds of practice questions plus a domain-by-domain breakdown of exam weightings and the nuances (Time Travel, Fail-safe, TRANSIENT…
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 has grown up fast since launch, now GA across AWS, Azure, and GCP, with a new SQL-first Gen 2 model and Managed Token authentication replacing key-pair headaches. This updated overview breaks down Openflow’s architecture, deployment options (Snowflake-hosted vs. BYOC), security model, and real-world use cases, from CDC replication to feeding unstructured data into…
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.
Data, Analytics, ML, AI 