Getting Started with Streaming Data for Event Driven Applications and Analytics
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Amazon Web Services769 тыс
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05.06.19 – 21243:11Популярные
Опубликовано 5 июня 2019, 16:31
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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.
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.
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