Dive into pattern matching, a powerful new feature in Java 21 that lets you easily deconstruct and analyze data structures. Follow this tutorial for examples.
This article presents the author's point of view on how to separate data, configuration, and other relevant aspects by showing different approaches and discussing them.
Transitioning to a Zero Trust Architecture (ZTA) for IoT security involves eliminating implicit trust and continuously validating every stage of a digital interaction.
GenAI is an ethical quagmire. What responsibility do data leaders have to navigate it? We consider the need for ethical AI and why data ethics are AI ethics.
Grafana is a vital open-source tool for real-time monitoring, offering customizable dashboards, proactive alerts, and seamless integration for IoT applications.
Kong's TCPIngress bridges IoT devices with cloud-native applications, offering secure, scalable connectivity. Essential for real-time data processing and analytics.
In this article, we are going to explore the different types of bot traffic that you might encounter on a public internet website and how you might handle them.
This article examines distributed caching, highlighting its impact on application performance through improved data access and scalability, and offers practical guidance.
StoneFly simplifies data storage with scalable, secure, and customizable solutions. Seamless integration and unbeatable value for developers and businesses.
Writing software is ever more complicated, but have you ever wondered what it was like before all the tools and technology we have today? You may regret asking!
Data normalization is supposed to be the way you optimize databases to ensure their integrity. But maybe with many databases, normalization becomes redundant.
In a monolithic application, where all components are interwoven into a single software unit, GraphQL offers a unique approach to manage and manipulate data.
Efficient data processing is paramount. In this guide, we'll explore how to leverage Apache Airflow and BigQuery to create robust and scalable data pipelines.