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Getting Started with Streaming Data for Event Driven Applications and Analytics

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Handling streaming data isn't an easy task. However, it is required for building microservices using techniques such as event sourcing, CQRS or choreography.
This session gives a gentle introduction to the world of streaming data. I will start with the technical underpinnings first and explain why the cloud is the perfect place to deal with streaming data.
Then I will show you the various cloud services that accomplish this task. One of them is a managed version of Apache Kafka which is one the most popular open-source projects for building messaging and streaming applications. I will explain what makes Kafka special, analyse major pain points in on-prem Kafka projects, critically analyse how Kafka differs from other streaming data services.
This session gives a gentle introduction to the world of streaming data. I will start with the technical underpinnings first and explain why the cloud is the perfect place to deal with streaming data.
Then I will show you the various cloud services that accomplish this task. One of them is a managed version of Apache Kafka which is one the most popular open-source projects for building messaging and streaming applications. I will explain what makes Kafka special, analyse major pain points in on-prem Kafka projects, critically analyse how Kafka differs from other streaming data services.