Data Streaming’s Importance in AI Applications
Confluent's Current conference highlighted the critical role of data streaming in addressing the real-time data needs of AI.
Topic: Streaming analytics, event processing
The ability to continually calculate statistical analytics within constant streams of multiple data coming from devices, sensors, websites, social media, and other applications.
Unlocking Real-time Insights: The Power of Messaging and Event-driven Architecture
Event processing technology augments event-driven architecture, providing the necessary tools and infrastructure to process and react to events in real time. …
How to Select a Unified Real-time Platform
When selecting URP products, organizations must start with a clear understanding of the project goals, business requirements, and more. Here are some points to …
What Exactly is a Unified Real-time Platform
URPs are motivated by escalating business demands for smarter operational applications that can leverage up-to-the-second data to make faster and better …
Four Kinds of Software to Process Streaming Data in Real Time
A look at the four kinds of software that perform real-time analytics on event streams and when to use
Unified Real-Time Platforms
Unified Real-Time Platforms (URPs) are a new category of software designed to handle demanding applications that deal with both streaming data and data at …
Want AI? It’s Going to Require a Healthy Dose of Real-Time Data Streaming
AI and machine learning are going to shake up how companies operate, and streaming data amplifies the leverage that can be gained from these powerful
KRaft Mode Project Aims to Simplify Kafka Architecture
Promising developments, including KRaft, simplified protocols, two-phase commit support, Docker images, GraalVM support, and Kafka queues, will solidify …
Using Web Agents to Detect Fraud and Achieve Real-time Insights
Effective fraud detection necessitates understanding the meaning of streaming data in context, in real-time, and at
The Evolving Technical Architecture of Apache Kafka
Kafka Streams is pivotal to Kafka's evolution, enabling it to adapt to scalability and performance demands.