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Database Reliability Engineering with Laine Campbell

Over the last decade, cloud computing made it easier to programmatically define what infrastructure we have running, and perform operations across that infrastructure. This is called

Dremio Data Engineering with Tomer Shiran

Twenty years ago, all of the data in an organization could fit inside of relational databases. Imagine a company like Proctor and Gamble. P&G is a consumer packaged goods company

Vitess: Scaling MySQL with Sugu Sougoumarane

YouTube runs a large MySQL database to hold the metadata about its videos. As YouTube scaled, the database was sharded, and applications within YouTube had to write queries that were

Cloud-Native SQL with Alex Robinson

Applications built in the cloud are often serving requests from all around the world. A user in Hong Kong could have written to a database entry at the moment just before a user in San

CosmosDB with Andrew Hoh

Different databases have different access patterns. Key-value, document, graph, and columnar databases are useful under different circumstances. For example, if you are a bank, and you