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Big Data Glossary

What is Stream Processing?

Definition of Stream Processing

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What is Stream Processing?

Stream processing is a method of processing data in real-time as it is generated, rather than in batches. In this way, stream processing allows for real-time analysis of data as it is generated, rather than having to wait for the data to be collected and stored before it can be analyzed. A stream processing system typically ingests data from one or more sources, such as sensors, social media feeds, or financial transaction systems, and processes the data in real-time as it is received. This processing can include filtering, aggregating, and analyzing the data to detect patterns, identify trends, and trigger actions or alerts.

Stream processing systems can be used for a wide range of applications, such as monitoring social media activity, detecting fraud in financial transactions, and controlling industrial processes. They are commonly used in IoT, Cybersecurity, and Financial industries.t

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