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jensrantil.github.io | ||
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sookocheff.com
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| | | | | Kafka is a messaging system. That's it. So why all the hype? In reality messaging is a hugely important piece of infrastructure for moving data between systems. To see why, let's look at a data pipeline without a messaging system. This system starts with Hadoop for storage and data processing. Hadoop isn't very useful without data so the first stage in using Hadoop is getting data in. Bringing Data in to Hadoop So far, not a big deal. Unfortunately, in the real world data exists on many systems in parallel, all of which need to interact with Hadoop and with each other. The situation quickly becomes more complex, ending with a system where multiple data systems are talking to one another over many channels. Each of these channels requires their own custom pro... | |
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blog.scottlogic.com
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| | | | | Apache Kafka provides distributed log store used by increasing numbers of companies and often forming the heart of systems processing huge amounts of data. This post shows how to use it for storing meteorological data and displaying this in a graphical dashboard with Graphite and Grafana | |
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www.madewithtea.com
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| | | | | This article is about aggregates in stateful stream processing in general. I write about the differences between Apache Spark and Apache Kafka Streams along concrete code examples. Further, I list the requirements which we might like to see covered by a stream processing framework. | |
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www.kai-waehner.de
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| | | Blog about architectures, best practices and use cases for data streaming, analytics, hybrid cloud infrastructure, internet of things, crypto, and more | ||
