Tech Corner

MCP at One Year: Why Martech and Adtech Leaders Need to Now Pay Attention

By Daniel Jaye | Dec 1, 2025

By Dan Jaye, CTO For years, "AI integration" has lived on roadmaps as a future initiative; something to prepare for eventually. That window is closing. Model Context Protocol...

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When Structured Data Becomes Unruly

By Daniel Jaye | Nov 24, 2025

By Dan Jaye, CTO There’s a common assumption in technical circles: if data starts out structured, then SQL and well-designed schemas should be enough to unlock its value....

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Let’s Go Beyond Tool Wrappers: What MCP Extensions Should Look Like in Adtech and Martech

By Daniel Jaye | Nov 14, 2025

By Dan Jaye, CTO My recent LinkedIn post called out the industry's (so far) tool-only approach to MCP. The response: "Okay, so what SHOULD we be building?" Here's the detailed...

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The AI Data Enablement Challenge for Marketing Organizations

By Daniel Jaye | Feb 28, 2025

Organizations racing to implement AI solutions face a fundamental paradox: the very data infrastructure that has served them well for analytics and reporting is fundamentally misa...

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Breaking the Performance Ceiling: Marketing Data Needs its own Infrastructure

By Daniel Jaye | Feb 14, 2025

Marketing data needs its own infrastructure. Aqfer was designed to stress test the core components that define modern marketing data infrastructure.

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Enhancing Parquet to Revolutionize Data Formats in the AI Era

By Daniel Jaye | Dec 11, 2024

Parquet, a favorite for analytics workloads, is limited when it comes to AI use cases. Explore Aqfer's approach to enhancing Parquet to meet modern demands.

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The Role of Metadata and Provenance in Data Lake Management

By Daniel Jaye | Dec 5, 2024

As data lakes evolve into lakehouses, their success hinges on effective metadata and provenance tracking.

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Revolutionizing Marketing Data Processing with MicroBatch (µBatch) Technology

By Jeff Storan | Oct 23, 2024

MicroBatch (µBatch) Processing is a game-changing approach to data handling, set to transform how marketers interact with their data streams.

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The Hidden Costs of Spark: Why Penny-Wise Might Be Pound Foolish

By Daniel Jaye | Oct 10, 2024

At first glance, Spark seems like a straightforward, cost-effective solution for data processing at scale. However, as with many things that seem too good to be true, there are hid...

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How to Build a Custom Analytics Solution

By Thomas Burg | Oct 8, 2024

Your custom solution should be able to analyze all inputs to create compelling data visualization and drive decision-making. Explore key components and capabilities of a custom ana...

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