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Apache Kafka Architecture and Use Cases Explained

Analytics Vidhya

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.

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Apache Kafka Use Cases and Installation Guide

Analytics Vidhya

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. Source: kafka.apache.org Caching is used to solve […].

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Introduction to Apache Kafka: Fundamentals and Working

Analytics Vidhya

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. […]. . […].

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Handling Streaming Data with Apache Kafka – A First Look

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction When we mention BigData, one of the types of data usually talked about is the Streaming Data. Streaming Data is generated continuously, by multiple data sources say, sensors, server logs, stock prices, etc.

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Navigating the Big Data Frontier: A Guide to Efficient Handling

Women in Big Data

With the explosive growth of big data over the past decade and the daily surge in data volumes, it’s essential to have a resilient system to manage the vast influx of information without failures. The success of any data initiative hinges on the robustness and flexibility of its big data pipeline.

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Build a Simple Realtime Data Pipeline

Analytics Vidhya

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.-

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How data engineers tame Big Data?

Dataconomy

Data engineers play a crucial role in managing and processing big data. They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. They must also ensure that data privacy regulations, such as GDPR and CCPA , are followed.