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The rise of event stream processing

“The perfect kind of architecture decision is the one which never has to be made”  Robert C. Martin From being a phenomenal trend to becoming one of the most essential IT designs considerations, event streaming has evolved to be pivotal for businesses due to an exponential increase in data and growing requirements for them to be real-time. A customer no longer waits for three hours before receiving a confirmation of
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Event streaming using Apache Kafka

There are levels of event recording in accordance with the use cases for which we are tracking like application logging (Log4j levels). Now a mission-critical application (like transactions) will generate a huge number of events, this will enable to debug/analyse in case of any failure or audits. For low to medium priority apps, we can keep it simple and less frequent. Before we get into details of Kafka-enabled event streaming,
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Why event stream processing is leading the new ‘big data’ era

Big data is probably one of the most misused words of the last decade. It was widely promoted, discussed and spread by business managers, technical experts, and experienced academics. Slogans like ‘data is the new oil’ were widely accepted as unquestionable truth.  But with this hype, different ideas and solutions have been considered, and then rejected. Event stream processing may provide the answer. The rise and fall of Hadoop These