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| Dec 3, 2024
Aqfer has developed a cutting-edge approach to serverless vector databases that is optimizing how marketers harness their data
By| Nov 21, 2024
Retrieval Augmented Generation (RAG) enhances large language models by combining language generation capabilities and real-time information retrieval.
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 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 25, 2024
Learn about Aqfer's Row-Comunar Model for data storage. This hybrid approach enables efficient compression of data to cut costs, while still allowing for lightning-fast data retri...
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...