NEW RESEARCH
By| 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.
By| Dec 5, 2024
As data lakes evolve into lakehouses, their success hinges on effective metadata and provenance tracking.
By| Oct 23, 2024
MicroBatch (µBatch) Processing is a game-changing approach to data handling, set to transform how marketers interact with their data streams.
By| 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...
By| 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...
By| 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...
By| 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.
By| 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...
By| Sep 4, 2024
AI has the potential to revolutionize how businesses interact with their customers and optimize their marketing spend. But this potential can only be fully realized with a strong f...
By| Aug 27, 2024
As concerns about privacy and data protection increase and third party cookies depreciate in value, it's crucial to implement tracking practices that respect user rights while stil...