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Build a Scalable Data Pipeline with Apache Kafka

Analytics Vidhya

Introduction Apache Kafka is a framework for dealing with many real-time data streams in a way that is spread out. It was made on LinkedIn and shared with the public in 2011.

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Here’s Why Automation For Data Lakes Could Be Important

Smart Data Collective

Sometimes they did, sometimes they didn’t, but the overall feeling when it came to Big Data was still positive because of the potential it had for delivering insights to the business world. The Thrust for Data Lake Creation.

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Improving air quality with generative AI

AWS Machine Learning Blog

With AWS Glue custom connectors, it’s effortless to transfer data between Amazon S3 and other applications. Additionally, this is a no-code experience for Afri-SET’s software engineer to effortlessly build their data pipelines. Her current areas of interest include federated learning, distributed training, and generative AI.

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Major Differences: Kafka vs RabbitMQ

Pickl AI

It allows applications to send, receive, and process data continuously, making it ideal for industries that rely on instant data updates. Since its launch in 2011, Kafka has become a leader in event-driven architectures, powering large-scale distributed systems across industries.