Map Reduce Paper - Distributed data processing

Опубликовано: 03 Май 2019
на канале: Defog Tech

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1.2k

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.

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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.

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