MapReduce: Simplified Data Processing on Large Clusters | AI Paper Reading Clubs Day 2

Join us for Day 2 of AI Paper Reading Clubs

🗣 Guest Speaker: Anmol Zehrah
(AI Engineer at Atomic Computing)

🔓 Paper Title: MapReduce: Simplified Data Processing on Large Clusters

🔍 Key Focus Areas:
• Why Google created MapReduce to process massive-scale data
• The core idea of simplifying distributed computing into Map and Reduce functions
• How the system executes: splitting, mapping, shuffling, and reducing
• Fault tolerance through task rescheduling and handling worker failures
• Real-world impact at Google in search indexing, ML pipelines, and large-scale log processing

📅 Date: 29th November 2025
⏰ Time: 1:00 PM PKT
📍 Venue: Google Meet

Explore how MapReduce changed large-scale data processing by making distributed systems simple, robust, and incredibly powerful. A great session for anyone curious about big data, cloud systems, or foundational Google technologies.

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