Functioning of Streaming SQL for Kafka: Image via Confluent Introduction to Kafka KSQL The streaming SQL brings even more functionalities to the table for powerful stream processing. It allows de-bulking of the load as no indexes are required to be kept for the message.ĭue to these performance characteristics and scalability factors, Kafka has become an effective Big Data solution for big companies, such as Netflix, as a primary source of ingestion.Everything can be restored and reprocessed with great ease using Kafka reducing the risk of data loss. Data security is also optimized, owing to the fact that no actual deletion takes place.Kafka enhances the stream efficiency and reduces the buffering time on the user’s end.Kafka offers some distinct benefits over standard messaging brokers:
Topicsare considered for allotting every message which can then be derived and retained over a long period of time. What makes Kafka stand out is the mechanism of writing messages to a topic. It is popularly used for its scalability and fault tolerance mechanisms which are lacking in other transmission technologies.
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Sign up here for a 14-Day Free Trial! Introduction to Apache KafkaĪpache Kafka is a platform that evolved from an adept messaging system with the capabilities to optimize event streaming and processing.
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