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This course explores the advantages and disadvantages of batch vs stream processing and teaches how to reduce complexity in batch processes using stream inline data enrichment. The learning outcomes include understanding the differences between batch and stream processing, identifying strategies to reduce complexity in batch processes, and implementing stream inline data enrichment. The course teaches individual skills such as data processing techniques, stream processing concepts, and data enrichment methods. The teaching method involves a discussion between experts in the field. The intended audience for this course includes data engineers, software developers, and anyone interested in data processing technologies.
