Join us for Day 2 of AI Paper Reading Clubs
š£ Guest Speaker: Anmol Zehrah
(AI Engineer at Atomic Computing)
š Paper Title: MapReduce: Simplified Data Processing on Large Clusters
š Key Focus Areas:
ā¢ Why Google created MapReduce to process massive-scale data
ā¢ The core idea of simplifying distributed computing into Map and Reduce functions
ā¢ How the system executes: splitting, mapping, shuffling, and reducing
ā¢ Fault tolerance through task rescheduling and handling worker failures
ā¢ Real-world impact at Google in search indexing, ML pipelines, and large-scale log processing
š
Date: 29th November 2025
ā° Time: 1:00 PM PKT
š 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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