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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 this blog post, I'll guide you through the key elements that constitute the Modern Data Stack. We'll delve into their roles, significance, and share insights and recommendations drawn from our experience at Cloud Data Consulting.
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.