Real-Time Data/Stream Processing with NCache

By Nandkishor

Real-time data/stream processing is attractive for data-driven applications with low latency requirements, such as network monitoring and real-time price analysis.

Key Takeaways

  • Real-time data/stream processing is attractive for data-driven applications with low latency requirements such as network monitoring and real-time price analysis applications.
  • An in-memory distributed is an ideal platform for the development of real-time stream processing applications due to extremely fast data access and linear scalability.
  • Modern distributed caching solutions facilitate real-time communication for .NET and .NET Core stream processing applications through Pub/Sub messaging, SQL and LINQ searching, events, and continuous query.
  • NCache is a .NET/.NET Core distributed cache that helps such applications to process fast and scale out with ease.
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Real-Time Data/Stream Processing with Distributed Caching

With technological advancement, data-driven applications with low latency requirements are emerging rapidly. Real-time stream processing applications in .NET/.NET Core are particularly attractive since they quickly process huge amounts of incoming data from various sources before it is stored in the database. This allows quick decision-making for businesses and in turn, reduces the response time for data events in an application.

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