Nowadays, we gather more and more data, which has to be aggregated, processed, and stored somewhere. This implies using services that can handle increasing loads, scale to growing demands, and offer the smallest latency available. All these requirements are often mentioned when building so-called big data pipelines—parts of a system designed to process as much data as possible, so it is later accessible by tools such as Hadoop, Spark, ML, AI, and so on. If you are looking for a service in Azure that can handle millions of messages per second, Azure Event Hub is the right choice. In this chapter, you will learn the basics of this Azure component and get familiar with messaging solutions in Azure.
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Kamil Mrzygłód is a technical lead and technology advisor, working with multiple companies on designing and implementing Azure-based systems and platforms. He's a former Microsoft Azure Microsoft Most Valuable Professional (MVP) and certified trainer, who shares his knowledge via various channels, including conference speeches and open source projects and contributions. Kamil lives in Poland with his two cats and one dog, dedicating some of his time to video games, cooking, and traveling.
Read more about Kamil Mrzygłód
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Kamil Mrzygłód is a technical lead and technology advisor, working with multiple companies on designing and implementing Azure-based systems and platforms. He's a former Microsoft Azure Microsoft Most Valuable Professional (MVP) and certified trainer, who shares his knowledge via various channels, including conference speeches and open source projects and contributions. Kamil lives in Poland with his two cats and one dog, dedicating some of his time to video games, cooking, and traveling.
Read more about Kamil Mrzygłód