Deciphering Data Architectures by James Serra

Author:James Serra
Language: eng
Format: epub
Publisher: O'Reilly Media
Published: 2023-05-08T00:00:00+00:00

Real-Time Processing Pros and Cons

In contrast to batch processing, real-time processing provides up-to-the-minute insights, enabling immediate action based on data. It is particularly beneficial for systems that require continuous updates and can effectively handle streaming data. Also, real-time processing is more flexible and responsive to changing business needs.

Real-time processing also has its drawbacks. It requires more system resources for continuous processing and poses a higher risk of system failure. Handling errors and recovery in real-time systems can be complex and requires robust tools. Ensuring data consistency might be more challenging due to constant updates. Moreover, the costs associated with real-time processing can be higher due to the need for continuous processing.

Deciding between batch processing and real-time processing means weighing factors such as the type of data, your processing needs, and your tolerance for latency or delay. The choice typically involves balancing the demand for instantaneous data with the system’s capacity to allocate the necessary resources for real-time processing—often referred to as latency tolerance. If a business process or system can afford a slight delay in data access—in other words, if it has a high latency tolerance—batch processing might be the appropriate approach. Conversely, if the need for immediate data is critical and the system is equipped to manage the resources required—indicating a low latency tolerance—real-time processing could be better.

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