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Stuff The Internet Says On Scalability For March 22nd, 2019

High Scalability

BrentToderian : What city went from 14% of all trips by bike in 2001, to 22% by 2012, then leaped to 30% in 3 years by 2015, & 35% by 2018? They'll learn a lot and love you even more.5 5 billion : weekly visits to Apple App store; $500m : new US exascale computer; $1.7 3B this year, $4B next year. Debt skyrocketing.

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Should You Use ClickHouse as a Main Operational Database?

Percona

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Inserts are efficient for bulk inserts only. created_utc?? ?

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Structural Evolutions in Data

O'Reilly

” Web3 has similarly progressed through “basic blockchain and cryptocurrency tokens” to “decentralized finance” to “NFTs as loyalty cards.” ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. Those algorithms packaged with scikit-learn?