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Kafka to MongoDB: Building a Streamlined Data Pipeline

Analytics Vidhya

We know that streaming data is data that is emitted at high volume […] The post Kafka to MongoDB: Building a Streamlined Data Pipeline appeared first on Analytics Vidhya. IT industries rely heavily on real-time insights derived from streaming data sources.

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Introducing Apache Kafka 3.7

Confluent

Apache Kafka 3.7 introduces updates to the Consumer rebalance protocol, an official Apache Kafka Docker image, JBOD support in Kraft-based clusters, and more!

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Min rate limits for Apache Kafka

Waitingforcode

You can limit the max throughput for Apache Spark Structured Streaming jobs for popular data sources such as Apache Kafka, Delta Lake, or raw files. Have you known that you can also control the lower limit, at least for Apache Kafka? I bet you know it already.

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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 message broker application and a logging service that is distributed, segmented, and […] The post A Detailed Guide of Interview Questions on Apache Kafka appeared first on Analytics Vidhya.

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Amazon Kinesis is not Apache Kafka

Waitingforcode

Today I'll focus on these differences for Amazon Kinesis service and Apache Kafka ecosystem. The managed cloud services often share the same fundamentals as their Open alternatives. However, there is always something different.

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Contributing to Apache Kafka®: How to Write a KIP

Confluent

Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.

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How to Run Apache Kafka on Windows

Confluent

Kafka-on-Windows tutorials are everywhere, but most run Kafka directly on Windows. Here's how to use Kafka on Windows in a Linux environment backed by WSL 2, maximizing performance and stability

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