- 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.
5 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 - Dynamic Tables: Declarative Pipelines
Say goodbye to complex Task trees. Learn how Dynamic Tables simplify data transformation by focusing on the
2 min - Snowflake User Defined Functions (UDFs) - These are Powerful
Dive into the world of Snowflake User Defined Functions (UDFs) and discover how to write reusable, modular logic for your data workflows. This guide explores the types of UDFs, practical implementation strategies, and engineering-focused use cases to help you extend Snowflake’s native capabilities with custom logic.
4 min - Let's Talk Snowflake Streams and Change Data Capture
An in-depth exploration of Snowflake Streams, detailing their role in Change Data Capture (CDC), implementation strategies, practical use cases, and best practices for developers and data engineers.
4 min - Automating Data Workflows with Ease, with Snowflake Tasks
This article provides a comprehensive overview of Snowflake Tasks—what they are, how they work, and how developers can use them to automate data workflows. Learn to build efficient pipelines with best practices and real-world SQL examples.
3 min