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alex.pearwin.com | ||
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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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shortdiv.com
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philodev.one
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| | | | | Implementing a Queue Request / Response with Symfony Messenger to explore the benefits of asynchronous communication between services | |
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www.decodable.co
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| | | How does the current state of data movement within a typical data platform compare to a stream processing environment? Sharon explores the scaling and management challenges of a traditional approach and looks at the benefits of unified data movement to support ELT, ETL, and data replication. | ||
