![rw-book-cover](https://motherduck-com-web-prod.s3.amazonaws.com/assets/img/thumbnail_36bfaec970.jpg) ## Metadata - Author: [[jordan-tigani|Jordan Tigani]] - Full Title:: The Simple Joys of Scaling Up - Category:: #🗞️Articles - URL:: https://motherduck.com/blog/the-simple-joys-of-scaling-up/ - Finished date:: [[2023-05-19]] ## Highlights > Google published a series of three papers in rapid succession that changed the way people build and scale software systems. These papers were [GFS](https://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) (2003) which tackled storage, [MapReduce](https://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) (2004) which handled computation, and [BigTable](https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf) (2006) which had the rudiments of a database ([View Highlight](https://read.readwise.io/read/01h0sbsc6xjg518trzys2pac8x)) > their scale-out query engine [Dremel](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36632.pdf), which became BigQuery ([View Highlight](https://read.readwise.io/read/01h0sbv840ayxh9195zh4dtst1)) > The Dremel [paper](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36632.pdf), written in 2008, included some benchmarks running a 3,000 node Dremel system against an 87 TB dataset. Today you can get equivalent performance on a single machine ([View Highlight](https://read.readwise.io/read/01h0sbyg48n9zexs6w9jhgp771))