Database

Building Scalable Databases: Denormalization, the NoSQL Movement and Digg

mg1313

Sep 10, 2009

Database normalization is a technique for designing relational database schemas that ensures that the data is optimal for ad-hoc querying and that modifications such as deletion or insertion of data does not lead to data inconsistency. Database denormalization is the process of optimizing your database for reads by creating redundant data. A consequence of denormalization is that insertions or deletions could cause data inconsistency if not uniformly applied to all redundant copies of the data within the database.

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Capturing A Billion Emo(j)i-ons

This blog post was written by Dedeepya Bonthu. This is a repost from her Medium article, approved by the author. In stadiums, sports fans love to express themselves by cheering for their favorite teams, holding up placards and team logos. Emoji’s allow fans at home to rapidly express themselves,

Brief History of Scaling Uber

This blog post was written by Josh Clemm, Senior Director of Engineering at Uber Eats. This is a repost from his LinkedIn article, approved by the author. On a cold evening in Paris in 2008, Travis Kalanick and Garrett Camp couldn't get a cab. That's when

Behind AWS S3’s Massive Scale

This is a guest article by Stanislav Kozlovski, an Apache Kafka Committer. If you would like to connect with Stanislav, you can do so on Twitter and LinkedIn. AWS S3 is a service every engineer is familiar with. It’s the service that popularized the notion of cold-storage to the

The Swedbank Outage shows that Change Controls don't work

This week I’ve been reading through the recent judgment from the Swedish FSA on the Swedbank outage. If you’re unfamiliar with this story, Swedbank had a major outage in April 2022 that was caused by an unapproved change to their IT systems. It temporarily left nearly a million