Fully exploit the possibilities of cloud technology.
The idea of distributed applications is not new. The basic concept is to decompose applications into collections of independent, loosely coupled components, each with clearly defined business functions that all communicate with each other.
und Data Streaming
Real-time decisions are the basis for quick directional decisions.
The use of distributed architectures and applications means that many small components must communicate with each other in order to fulfill a business function in the overall context. Data streaming platforms, such as Apache Kafka, act as the central nervous system for all such data streams in networked, decentralized environments. Information is considered an “event” that can be received by multiple recipients or applications. The possible applications are almost unlimited.
In the context of cloud computing and the Internet of Things (IoT), there is growing interest in analyzing data from streaming sources to make data-driven decisions in real time. To facilitate the need for real-time analytics from disparate data sources, many organizations have replaced traditional batch processing with streaming data architectures. This makes it possible to process data while it is in motion.
Data streaming solutions meet your customers’ needs for real-time data and immediate personalization.