How to Build a Self-Healing Data Pipeline with Agentic AI
Overview Every data team knows the morning routine: a dbt model failed overnight, a Matillion job stalled, or a Snowflake query hit a permission error, and the dashboards
READ MOREOverview Every data team knows the morning routine: a dbt model failed overnight, a Matillion job stalled, or a Snowflake query hit a permission error, and the dashboards
READ MOREOverview As organizations modernize their data platforms, dbt (Data Build Tool) has become the standard for scalable, testable, and maintainable data transformation. However, many enterprises still rely heavily on Snowflake Views, Stored
READ MOREOverview As teams adopt cloud‑native data engineering tools like Matillion Data Productivity Cloud (DPC) or dbt labs, the next logical step is ensuring that development practices keep pace. That’s where Continuous Integration and
READ MOREOverview In a previous article, we conducted a detailed analysis of dbt core on Snowflake vs. dbt Cloud Starter for SMB clients. We recently analyzed dbt Cloud Enterprise
READ MOREOverview Following the announcement at Snowflake Summit in June, 2025, dbt (data build tool) projects are now natively deployed within Snowflake. With dbt being the go-to framework for
READ MOREOverview Learn how CloudEQS implemented a machine learning model in Snowflake to drive $6.6M in revenue insights and 4x improvement in churn prediction. The Challenge Our client’s Global
READ MOREOverview Learn how the CloudEQS simplified cloud-native thinking and helped drive strategic growth for one of our clients in the cybersecurity industry. Specializing in data protection and recovery
READ MOREOverview The purpose of this article is to showcase how SOX compliance audits make their way to the modern data stack. Specifically, how we helped one of our
READ MOREOverview Last month was DBT Lab’s annual user-conference, Coalesce, where they announced their product vision – The Control Plane for Data Collaboration. As trusted advisors and Data Engineering
READ MOREOverview of the Project Just because an organization has a “Modern Data Stack” doesn’t mean all their problems are solved. Additionally, organizations can’t accelerate the adoption of GenAI
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