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A Detailed Guide of Interview Questions on Apache Kafka

Analytics Vidhya

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.

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Introduction to Apache Kafka: Fundamentals and Working

Analytics Vidhya

The post Introduction to Apache Kafka: Fundamentals and Working appeared first on Analytics Vidhya. Introduction Have you ever wondered how Instagram recommends similar kinds of reels while you are scrolling through your feed or ad recommendations for similar products that you were browsing on Amazon?

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9 Must-Have Skills to Become a Data Engineer!

Analytics Vidhya

Overview Know which are the top 9 skills required to be a data engineer Find suitable resources to learn about these tools By no. The post 9 Must-Have Skills to Become a Data Engineer! appeared first on Analytics Vidhya.

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Big data engineering simplified: Exploring roles of distributed systems

Data Science Dojo

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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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. What is data engineering?

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The Backbone of Data Engineering: 5 Key Architectural Patterns Explained

Mlearning.ai

Data engineering is a rapidly growing field that designs and develops systems that process and manage large amounts of data. There are various architectural design patterns in data engineering that are used to solve different data-related problems.