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At the heart of Kafka's architecture are its consumers, which read and process data from Kafka topics. Essentially, consumers are client applications or services that subscribe to one or more topics, which then fetch and process the messages published to these topics. You'll likely find that it's important to list...
Scott Robinson
In the world of distributed data streaming platforms, Apache Kafka has become the go-to choice for many developers and data engineers. It is a powerful tool that enables efficient handling of large volumes of data, making it an important component in modern data-driven applications. If you're working with Kafka, chances...
This guide is the third and final part of three guides about Support Vector Machines (SVMs). In this guide, we will keep working with the forged bank notes use case, have a quick recap about the general idea behind SVMs, understand what is the kernel trick, and implement different types...
Cássia Sampaio
This guide is the second part of three guides about Support Vector Machines (SVMs). In this guide, we will keep working on the forged bank notes use case, understand what SVM parameters are already being set by Scikit-Learn, what are C and Gamma hyperparameters, and how to tune them using...
If you've stumbled upon this article, chances are you've already been working with Apache Kafka, the open-source distributed streaming platform that has gained significant popularity for its ability to handle large-scale, real-time data processing. In this article, we'll dive into the nitty-gritty of managing and monitoring Kafka topics. Topics are...
This guide is the first part of three guides about Support Vector Machines (SVMs). In this series, we will work on a forged bank notes use case, learn about the simple SVM, then about SVM hyperparameters and, finally, learn a concept called the kernel trick and explore other types of...
Apache Kafka is a powerful, distributed event streaming platform that helps developers build scalable, real-time applications. It's a popular choice for its high-throughput, fault-tolerant, and low-latency characteristics. At the heart of Kafka is the concept of "topics" which serve as channels for organizing and categorizing the stream of...
If you've been working with Kafka for a while, you're probably aware of the importance of properly managing your Kafka topics. As the backbone of your data streaming infrastructure, well-organized topics can keep your system running smoothly and efficiently, while ensuring that you're making the most out of the valuable...
Handling user-submitted phone numbers can be a challenging task for developers, especially considering the various formats and notations used around the world. Ensuring that these phone numbers are valid and properly formatted is crucial for any application that relies on accurate contact information. That's where Python and its powerful regular...
Dimitrije Stamenic
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