Exa's exa-d: A Data Framework for Processing Web-Scale Information

At Exa, many team members need to simultaneously iterate on new search signals derived from existing data. If each team member wrote bespoke scripts for calculating and updating different columns, this would not only lead to excessive code duplication, but also hamper iteration speed

Before building exa-d, we evaluated traditional data management stacks: data warehouses, SQL transformation layers, and orchestrators before ultimately deciding to build our own data framework optimized around a specific set of priorities

How do you store and retrieve information from the web in a database? A deep dive into Exa's inhouse data processing framework