- Snowflake Administration Queries: The Complete ACCOUNT_USAGE Monitoring Toolkit
A practical reference covering cost, storage, security, performance, and governance queries for Snowflake platform administrators using ACCOUNT_USAGE views.
17 min - Feature Engineering in Snowflake: Preparing Data for Machine Learning
Feature engineering transforms raw data into ML-ready inputs. Snowflake provides native SQL functions and Snowpark tools to do this without leaving the warehouse.
9 min - 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 - 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 - 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 - The EU AI Act in 2026: What Data and Engineering Teams Must Know
The EU AI Act is now enforcing real obligations. Here is what engineering and data teams need to understand about AI compliance, risk categories, and data governance.
8 min - Why Data Engineering Fundamentals Still Matter in the AI Era
In the rush to adopt AI and machine learning, organizations often overlook foundational data engineering principles. Discover why clean pipelines, governance, and lineage remain critical for AI success.
11 min - Zero-Copy Cloning Deep Dive - How to Use It Beyond Testing
This article examines Snowflake’s zero-copy cloning feature in depth, showing how it can be used beyond dev/test for sandboxing, branching datasets, cost interactions, risks, code examples, and a decision guide for when cloning is appropriate.
6 min