“ By using data to guide our product development decisions , Pinterest is able to better meet the needs and preferences of our users , while increasing inspiration ”
DR . DAVE BURGESS VP DATA ENGINEERING , PINTEREST
tasks , allowing them to share queries , datasets , and insights with one another . It ’ s the most popular and highly-rated internal tooling platform at Pinterest .”
As Burgess describes , Querybook also benefits from advanced data analysis capabilities for ad-hoc data analysis , generating visualisations , and even building machine learning models : “ We ’ ve also built a ChatGPT-like interface to automatically generate and execute queries from a text business statement . For example , you could ask it how many daily active users there are on Pinterest over the past month and it will generate a SQL query with the right tables and fields .”
“ Overall ,” Burgess asserts , “ Data Mesh represents a new way of thinking about data architecture that helps us to manage our large and complex data environment more effectively , while also fostering greater collaboration and innovation .”
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