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Sharing insights on Snowflake, Azure, and modern data engineering.

Showing 8 of 116 posts View all posts by years →

Mar 27, 2026

Implementing Machine Learning Workloads in Snowflake

Snowflake offers multiple paths for ML workloads: Snowpark ML, Cortex ML functions, and in-database model training. Here is how to choose and implement each approach.

8 min
Mar 20, 2026

Project Snowwork: Snowflake AI for Business Users

Project Snowwork is Snowflake's autonomous AI platform for knowledge workers. Here is why it matters and what data teams should be watching as it develops.

7 min
Mar 13, 2026

Continuous Data Replication to Snowflake with Oracle GoldenGate

Oracle GoldenGate enables near real-time CDC from Oracle databases into Snowflake via S3 and Snowpipe. Here is how the pipeline works and when to use it.

7 min
Mar 6, 2026

Building a True Lakehouse with Snowflake Postgres and pg_lake

Snowflake Postgres and the pg_lake extension let you run OLTP workloads and analytical queries on the same Iceberg data layer — without copying data.

7 min
Feb 20, 2026

Snowflake Cortex Code: The AI Agent Built for Your Data Stack

Cortex Code is Snowflake's agentic coding experience, purpose-built for data engineers, analysts, and platform teams working inside the Snowflake ecosystem.

10 min
Feb 13, 2026

Cortex Agents in Production: From AI Demos to Business Outcomes

Snowflake Cortex Agents reached GA in November 2025. Here's how enterprises are using them to drive real ROI, not just impressive demos.

6 min
Feb 6, 2026

dbt and Iceberg Tables: Building the Open Lakehouse on Snowflake

How dbt 1.9+ transforms Iceberg table development on Snowflake. From external catalogs to bi-directional writes, the open lakehouse is now production-ready.

6 min
Jan 31, 2026

The Rise of Data Engineering Agents: BigQuery, Snowflake, and the Automated Pipeline Future

Data engineering agents can now generate, maintain, and optimise pipelines autonomously. We explore Google BigQuery's Data Engineering Agent and Snowflake's Openflow approach.

6 min

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