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Big Data Glossary

What is Real-time Systems?

Definition of Real-time Systems

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What is Real-time Systems?

Real-time refers to a system or process that operates in real-time, meaning it processes and responds to incoming data or events immediately or with minimal delay.

Real-time systems are designed to handle and process data as it is generated, without any significant delay. Real-time systems can be used in various fields such as finance, healthcare, transportation, and manufacturing. They are often used in applications where a delay in processing or response could have serious consequences, such as in control systems for power plants, traffic signals, or financial trading systems.

Real-time systems can be classified into two main categories:

  • Hard real-time systems: These systems have strict timing constraints and the failure to meet these constraints can result in a catastrophic failure.
  • Soft real-time systems: These systems have less strict timing constraints and the failure to meet these constraints may result in a degradation of system performance, but not a complete failure.

Real-time systems have strict performance requirements, and they are often implemented using specialized hardware and software. They also require careful handling of data and appropriate data governance to ensure that the data is used ethically and legally.

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