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The best data teams are rethinking how the work gets done. These are the posts written for the people building, buying, and working with modern data platforms.

BigQuery's AI Tools Make Writing Pipelines Faster. Maia Now Governs These Pipelines.

Maia Foundation, the execution layer of Matillion's AI Data Automation platform, is now generally available on Google BigQuery. Rather than just speeding up how fast engineers write pipelines, Maia automates the surrounding work, including review, governance, and lineage, so BigQuery pipelines build and govern themselves while engineers approve.

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BigQuery's AI Tools Make Writing Pipelines Faster. Maia Now Governs These Pipelines.

The Operational Foundation Enterprise AI Depends On

SSIS Alternatives and Competitors

When Execution No Longer Fits Inside a Single Platform

IBM DataStage Alternatives and Competitors

Data Automation Without Governance Is Just Faster Risk

Qlik Competitors and Alternatives in 2026

Talend Alternatives and Competitors in 2026

Building Tableau Dashboards Programmatically with Maia

Five Hidden Costs of Delaying Legacy ETL Modernization

dbt Alternatives and Competitors in 2026

Fivetran Competitors and Alternatives in 2026

Migration is a Runtime, Not a Project

Can AI Predict the 2026 World Cup Winner? We Asked Maia

Snowflake Summit 2026 Was About Context. The Conversation Has a Blind Spot

The Agentic Enterprise Still Runs on Human Supply

The Agentic Enterprise Needs a Supply Side

AI Didn’t Just Change Execution. It Broke How We Measure Value

Why Data Engineers Must Stop Taking Orders and Start Designing Menus

Why Your Data Engineering Role is Changing (And Why That's Good News)

Mission Control: Autonomous Data Engineering's Operating Layer

From AI Tools to AI Data Teams: What We Shipped This Spring

Faster Pipelines, Same Backlog: Amdahl's Law Comes for Data Engineering

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Cloud Modernization Stalls Without Data Engineering Capacity

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Where Continuous Execution Becomes Inevitable

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Agentic AI Systems Explained: Why Projects Are the Wrong Unit of Execution

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Alteryx Competitors and Alternatives in 2026

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Maia vs Alteryx

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Legacy Data Migration: A Data Leader's Playbook

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What Is Data Automation?

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Execution Is No Longer Episodic. AI Made It Continuous

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Building Agentic Workflows on a Composable Data Architecture

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Traditional Automation vs. AI Data Automation

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Dead Capital: Why AI Investment Isn’t Producing Returns

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Legacy ETL Is the Hidden Constraint on AI Execution

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What Is Data Integration?

12 Informatica Competitors and Alternatives for 2026

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Informatica vs Maia

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The Real Cost of Legacy ETL Migration Isn't the Licence Fee

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Healthcare AI’s Real Bottleneck: Data Work and the Pipeline Problem

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What Is Massively Parallel Processing?

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AI Exposes the Limits of Analytics-Era Data Architecture

November 3, 2025

The Rise of AI Data Automation

How AI Is Creating Agentic Data Engineering

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October 1, 2025

Agentic AI vs. AI Agents

Modernizing ETL: Cut pipeline build time by 85%

What Is Agentic AI?

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Your Competitors Deploy AI in Days. You Don’t.

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August 13, 2025

3 AI Compliance Shifts Every Data Leader Must Act on Now

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September 5, 2025

Structured Data vs Unstructured Data vs Semi-Structured Data

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October 14, 2025

The Last Tool vs. The First Team

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October 1, 2025

Rethinking Data Engineering for the AI Era

November 5, 2025

Agents of Data: 0-1 of AI - with Sarah Schlobohm

February 24, 2026

From Better Tools to Agentic Data Teams

February 3, 2026

Matillion positions Maia as the AI Data Automation platform

November 3, 2025

Context Files With Maia | Smarter, Consistent Data Pipelines

Build Custom API Connectors Fast

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October 1, 2025

AI Data Automation Tested | Maia Real-World Review

Navigating GxP Compliance With Maia and AI Data Automation

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From Matillion to Maia: The Next Frontier of Data Engineering

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November 10, 2025

Supercharging Data Pipelines | Adaptive Orchestration With Maia

November 3, 2025

Designing Smarter Orchestration Pipelines

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September 29, 2025

The Data Stack Consolidation Imperative

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September 29, 2025

Breaking the Data Bottleneck

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September 29, 2025

From AI Promise to Performance

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