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Apache Kafka use cases: Driving innovation across diverse industries

IBM Journey to AI blog

Apache Kafka is an open-source , distributed streaming platform that allows developers to build real-time, event-driven applications. With Apache Kafka, developers can build applications that continuously use streaming data records and deliver real-time experiences to users. How does Apache Kafka work?

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Top Big Data Interview Questions for 2025

Pickl AI

Introduction Big Data continues transforming industries, making it a vital asset in 2025. The global Big Data Analytics market, valued at $307.51 Turning raw data into meaningful insights helps businesses anticipate trends, understand consumer behaviour, and remain competitive in a rapidly changing world.

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ML Pipeline Architecture Design Patterns (With 10 Real-World Examples)

The MLOps Blog

Today different stages exist within ML pipelines built to meet technical, industrial, and business requirements. This section delves into the common stages in most ML pipelines, regardless of industry or business function. 1 Data Ingestion (e.g., Apache Kafka, Amazon Kinesis) 2 Data Preprocessing (e.g.,

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Major Differences: Kafka vs RabbitMQ

Pickl AI

Two of the most popular message brokers are RabbitMQ and Apache Kafka. In this blog, we will explore RabbitMQ vs Kafka, their key differences, and when to use each. Kafka excels in real-time data streaming and scalability. RabbitMQ uses a push-based model, while Kafka follows a pull-based model.