Data at rest encryption is vital in cybersecurity, securing stored data from unauthorized access and breaches. It ensures that even if data is stolen, it remains unreadable.
Surprisingly, cybersecurity could be as simple as following best practices, which ideally should be integrated into the culture itself. Learn more in this post.
Learn about context-specific real-time Generative AI (GenAI) with Retrieval Augmentation Generation (RAG) using Kafka and Flink to prevent hallucinations.
Explore how KubeMQ’s open-source Java SDK provides a powerful solution for enterprises looking to manage data across complex multi-cloud and edge environments.
Many things can break, but when the logging breaks, then we are completely lost. In this article, understand how to log efficiently in distributed systems.
Explore principles of modern data infrastructure such as scalability, high availability, speed, security, maintainability, efficiency, and developer experience.
With the rise of remote work and the dissolution of the traditional security perimeter, enterprises have shifted to a Zero-Trust model to improve security.
Explore High Fidelity (HiFi) Data features such as visual, population, statistical, and ownership integrity, and its use to balance privacy and usability.
Learn how to build, architect, and design complex unstructured data applications for vector databases utilizing Milvus, GenAI, LangChain, YoLo, and more.
Learn challenges of financial transaction systems and implement robust mechanisms to handle concurrency effectively to ensure system integrity and reliability.
Explore the data-testid attribute, which is specifically designed for testing purposes, and offers numerous advantages, particularly from a QA perspective.
Anomaly detection, though less accurate, is a valuable tool for identifying unknown fraud patterns that the supervised models are not trained to detect.