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Streaming Machine Learning Without a Data Lake

ODSC - Open Data Science

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

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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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Big data engineering simplified: Exploring roles of distributed systems

Data Science Dojo

Clusters : Clusters are groups of interconnected nodes that work together to process and store data. Clustering allows for improved performance and fault tolerance as tasks can be distributed across nodes. Each node is capable of processing and storing data independently.

Big Data 195