The near real-time ingestion of incremental data updates from source systems including relational databases, sensors, and other devices, using technologies such as Apache Kafka and change data capture.
Added Perspectives
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Data streaming improves processing efficiency by reducing the CPU cycles and memory required to process and replicate a given set of data. This enables data teams to handle higher data volumes with the same resources.
Relevant Content
Keep reading.
Blog
Assessing the Kafka Data Streaming Opportunity
Sep 17, 2018 - Many enterprises are adopting Apache Kafka to process higher volumes of data faster and thereby realize more value from business events.
Blog
Building an Effective Transactional Data Streaming System
Mar 05, 2019 - Production transactional systems are the workhorses of the modern enterprise.
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