Apache Kafka Data Engineering Data Science 
Analytics Vidhya
JULY 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction The big data industry is growing daily and needs tools to process vast volumes of data. That’s why you need to know about Apache Kafka, a publish-subscribe messaging system you can use to build distributed applications.
Analytics Vidhya
OCTOBER 3, 2022
This article was published as a part of the Data Science Blogathon. The post Apache Kafka Use Cases and Installation Guide appeared first on Analytics Vidhya. Introduction Today, we expect web applications to respond to user queries quickly, if not immediately.
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Analytics Vidhya
DECEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. The post Introduction to Apache Kafka: Fundamentals and Working appeared first on Analytics Vidhya. All these sites use some event streaming tool to monitor user activities. […]. . […].
Analytics Vidhya
AUGUST 2, 2022
This article was published as a part of the Data Science Blogathon. Introduction Earlier, I had introduced basic concepts of Apache Kafka in my blog on Analytics Vidhya(link is available under references). The post Exploring Partitions and Consumer Groups in Apache Kafka appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 28, 2023
Introduction Apache Kafka is an open-source publish-subscribe messaging application initially developed by LinkedIn in early 2011. It is a famous Scala-coded data processing tool that offers low latency, extensive throughput, and a unified platform to handle the data in real-time.
Analytics Vidhya
SEPTEMBER 22, 2022
This article was published as a part of the Data Science Blogathon. Dale Carnegie” Apache Kafka is a Software Framework for storing, reading, and analyzing streaming data. Introduction “Learning is an active process. We learn by doing. Only knowledge that is used sticks in your mind.-
Data Science Dojo
JULY 24, 2023
They allow data processing tasks to be distributed across multiple machines, enabling parallel processing and scalability. It involves various technologies and techniques that enable efficient data processing and retrieval. Stay tuned for an insightful exploration into the world of Big Data Engineering with Distributed Systems!
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