PRQL – A proposal for a better SQL

1. 1Read the PRQL proposal to understand its key features and improvements over traditional SQL
2. 2Explore the PRQL GitHub repository to learn more about its implementation and development
3. 3Compare PRQL with existing SQL variants to identify its strengths and weaknesses
4. 4Apply PRQL to a sample dataset to evaluate its performance and usability
5. 5Discuss the potential implications of PRQL on data querying and management with colleagues and peers

Data scientists, data analysts, and software engineers can benefit from understanding PRQL and its potential applications in data querying and management

💡 PRQL aims to improve the usability and expressiveness of SQL, making it easier to work with complex data queries

🚀 PRQL: A proposed improvement to SQL, aiming to simplify data querying and management #PRQL #SQL #DataScience