Map Reduce Paper - Distributed data processing

Paper that inspired Hadoop. This video explains Map Reduce concepts which is used for distributed big data processing. This video takes some liberties to explain the underlying concept as simply as possible. For example; the map process for song count is typically implemented as, emit number 1 for each song title. After this a combiner function is used to locally aggregate/sum these counts per song. Also, this video leaves out many implementation details, which are interesting. I encourage you to read the paper for them. Thanks for watching. Channel ---------------------------------- Complex concepts explained in short & simple manner. Topics include Java Concurrency, Spring Boot, Microservices, Distributed Systems etc. Feel free to ask any doubts in the comments. Also happy to take requests for new videos. Subscribe or explore the channel - https://youtube.com/defogtech New video added every weekend. Popular Videos ---------------------------------- What is an API Gateway - https://youtu.be/vHQqQBYJtLI Executor Service - https://youtu.be/6Oo-9Can3H8 Introduction to CompletableFuture - https://youtu.be/ImtZgX1nmr8 Java Memory Model in 10 minutes - https://youtu.be/Z4hMFBvCDV4 Volatile vs Atomic - https://youtu.be/WH5UvQJizH0 What is Spring Webflux - https://youtu.be/M3jNn3HMeWg Java Concurrency Interview question - https://youtu.be/_RSAS-gIjGo