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source.coveo.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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www.altexsoft.com
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| | | | | A data pipeline is a set of tools and activities for moving data from one system to another which makes it available for analysis and visualization. | |
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www.confluent.io
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| | | | | Find technical tutorials, best practices, customer stories, and feature updates related to Apache Kafka, Confluent, and real-time streaming data technologies. | |
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www.onehouse.ai
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| | | Discover how to effectively use Apache Hudi? along with Iceberg and Delta Lake in modern data lakes. This article explores why organizations need multiple table formats, breaks down their unique strengths, and explains how new tools enable seamless integration across formats while maintaining performance and reducing complexity. | ||
