Learn the differences between Fan-Out/Fan-In and Map-Reduce patterns in parallel processing. Fan-Out/Fan-In is a general pattern for executing independent tasks simultaneously, suitable for tasks like web scraping or concurrent API calls. In contrast, Map-Reduce, often used for large-scale data processing, involves specific 'map' and 'reduce' steps for tasks like log analysis and data transformations. The post also explores serverless implementations of these patterns using services like AWS Lambda, Step Functions, and AWS Glue.
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