Stay up-to-date with the latest trends and best practices in data analytics
An honest comparison of Snowflake and Databricks for enterprise data platforms. We break down the key differences in architecture, use cases, pricing, and when to choose each.
Learn proven strategies to optimize your Snowflake spending without sacrificing performance. From warehouse sizing to query optimization, here's how to cut costs by 30-70%.
A no-nonsense guide to implementing data governance that actually works. Learn the essential components, common pitfalls, and how to build a framework your organization will adopt.
The modern data stack is the set of cloud-native tools that power data-driven organizations. Here's what it looks like in practice, what tools to use, and how to get started.
This blog post discusses a practical SQL approach for comparing multiple tables, views, dynamic tables etc, in two environments — typically, one is the integration environment being tested before deploying the changes to the production environment.
In data warehousing and business intelligence, ensuring data integrity is paramount, especially after implementing code changes. This blog post discusses a practical SQL approach for comparing two data sets — typically, one before and one after a transformation — to ensure that the output remains consistent.
In today's fast-paced and ever-evolving business environment, staying ahead means more than just having data—it requires agility in how you manage and use that data.
Learning dbt has completely changed my process! After years of building data warehouses and data marts, I have finally started to have the experience of working as an agile team.
Learn about our Snowflake Framework design principles including least privilege, consistency, and our namespace organization patterns for raw data, applications, and environments.
The Snowflake Data Platform is a once-in-a-generation breakthrough in data warehouse, analytics and reporting database technology. It is transformative and disruptive and will continue to change how we think of data analytics platforms.