Tags: #best-practices

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.

Anthropic Academy offers free AI courses covering Claude, MCP, and the API. A practical guide for teams and individuals looking to build real AI fluency.

Kimball''s methodology shaped data warehousing for thirty years. In an era of streaming pipelines, dbt, and lakehouses, what survives — and what has quietly been retired?

Dimensional modelling concepts predate the cloud. Revisit star and snowflake schemas through a modern Snowflake lens — when each still earns its place, and when denormalisation simply wins.

A practical reference covering cost, storage, security, performance, and governance queries for Snowflake platform administrators using ACCOUNT_USAGE views.

Feature engineering transforms raw data into ML-ready inputs. Snowflake provides native SQL functions and Snowpark tools to do this without leaving the warehouse.

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.

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.