Tech Corner

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 Wes Marsh | 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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Data Processing at Scale: Why Reliability Matters More Than You Think

By Daniel Jaye | Oct 7, 2024

The need for scalable, reliable data processing systems has never been greater. Many organizations turn to Apache Spark for its ability to process large datasets in a distributed f...

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Using Diverse Models to Overcome AI Hallucinations

By Daniel Jaye | Sep 24, 2024

The key to combating AI hallucinations lies in diversity – not just in data, but in the very models and algorithms we use.

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An Efficient and Cost Effective Approach to Big Data Processing

By Daniel Jaye | Sep 13, 2024

In the realm of big data processing, the choice of tools and platforms can significantly impact both operational efficiency and financial outcomes. This article shares Aqfer's appr...

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