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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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Big data engineering simplified: Exploring roles of distributed systems

Data Science Dojo

Amazon S3: Amazon Simple Storage Service (S3) is a scalable object storage service provided by Amazon Web Services (AWS). Internet of Things (IoT) Data Processing: Stream processing is vital for handling continuous data streams from IoT devices, enabling real-time monitoring and control.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

IoT (Internet of Things) Analytics Projects: IoT analytics involves processing and analyzing data from IoT devices to gain insights into device performance, usage patterns, and predictive maintenance. Implement real-time analytics to monitor trends or anomalies in the data.

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Stream ingest data from Kafka to Amazon Bedrock Knowledge Bases using custom connectors

AWS Machine Learning Blog

Think of the examples of clickstream data, credit card swipes, Internet of Things (IoT) sensor data, log analysis and commodity priceswhere both current data and historical trends are important to make a learned decision. In this step, you follow the detailed instructions that are mentioned at Create a topic in the Amazon MSK cluster.