A Case for Machine Generated SQL
Blog post from Sigma
Sigma is advocating for the use of Machine Generated SQL to democratize data analysis, making it accessible to a broader audience without requiring deep SQL expertise. The company compares its approach to the transition from film to digital photography, where technology made photography more accessible and efficient for everyone, regardless of their technical skills. Sigma's product, the Sigma Workbook, allows users to interact with data through an intuitive interface that generates complex SQL queries automatically, enabling users to visualize and analyze data without direct SQL interaction. This approach aims to bridge the skills gap in data analytics, similar to how digital cameras simplified photography, by allowing users to focus on analysis rather than the technicalities of SQL. The company believes that by the end of the decade, more people will derive value from data management systems without needing to become SQL programmers, marking a shift towards more user-friendly data tools that accommodate varying skill levels.