Category: Blog

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

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Snowflake Press Release: CloudEQS Builds Multi-Tenant Cortex Application on Snowflake AI Data Cloud

The Announcement Santa Clara, California— CloudEQS today announced the implementation of a multi-tenant Cortex application on the Snowflake AI Data Cloud. This new  application Powered by Snowflake, will

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Governed Metric Sprint – Build a Snowflake-Native Semantic Layer Your AI Agents Can Trust

Overview  It’s no secret that AI is fueling organizations to invest in their data architecture and strategy. But what isn’t so obvious is organizations are still struggling with

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Building an Automated CI/CD in Matillion Using MAIA

Introduction Matillion makes it easy to build data pipelines visually, but shipping those pipelines safely across environments — dev, staging, prod — still needs the same rigor as

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CloudEQS Joins the Claude Partner Network: What It Means for Enterprise AI

Overview  CloudEQS has formally joined Anthropic’s Claude Partner Network. For most firms, that would be the starting gun. For us, it’s a formal recognition of work already in

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From Matillion ETL to Maia: The CloudEQS Migration Framework

Overview Matillion has shifted its center of gravity from Matillion ETL (METL) to Maia – its AI-native data automation platform – and every METL customer will eventually need

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The Enterprise Intelligence Platform: Why Data Leaders Are Rebuilding Around a Single Source of Truth

Overview Enterprise data strategy has moved in waves, each one solving the last generation’s problem while quietly creating the next. First was the move to the cloud, as

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Accelerating dbt Migrations: How Python Helped Us Convert Snowflake Views into dbt Models at Scale

Overview 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

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RecruitOS By CloudEQS: How AI Clinical Trial Recruitment Technology Cuts Cost Per Patient

Context Clinical trials are the engine of modern medicine — but that engine has a serious bottleneck. Recruitment. Up to 80% of trials fail to meet their enrollment

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How to Scale AI Agents with Snowflake Cortex Analyst

Overview Designing the architecture for Snowflake Cortex Analyst and Cortex Agents requires a delicate balance. When building semantic layers to empower natural language querying over your data, you quickly run into classic trade-offs

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