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...
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...
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...
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...
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...
To maximize AI decisioning platforms, they need to be fed the right information. When paired with data warehouses for big data processing and knowledge graphs for contextual insigh...
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...
Website tracking is crucial for making data-driven decisions, optimizing user experiences, and improving marketing. Discover important techniques for implementing future-ready webs...