NEW RESEARCH
By| Feb 14, 2025
Marketing data needs its own infrastructure. Aqfer was designed to stress test the core components that define modern marketing data infrastructure.
By| Feb 4, 2025
For years, marketing solution providers have accepted inefficiencies in their data processing workflows as the cost of doing business. Over-provisioning, rerunning failed jobs, and...
By| Jan 30, 2025
For years, marketing solution providers have accepted inefficiencies in their data processing workflows as the cost of doing business. Over-provisioning, rerunning failed jobs, and...
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...