Creating views in SQL can save time for programmers and allow for faster data access and organization.
Views are pre-formatted queries that can be saved and called, ultimately eliminating the need to re-write code.
While not necessary for every query written, views should be created for common logic and frequently accessed queries.
Views can be joined together to encapsulate logic or create tables for tens or hundreds of millions of rows.
Views are not inherently fast, but can be optimized and used to pull the most recent data.
Going through views daily can help catch mistakes and improve logic which ultimately speeds up data analysis.
By creating layers and reusable code, programmers can focus on data quality and analysis rather than figuring out how to pull the data repeatedly.
Creating a fact layer that uses the cleanest views that programmers have created can serve as a single source of truth.
In the end, organizing and creating views will improve proficiency and make data analysis a smoother and more efficient process for all involved.
These views can be beneficial to data scientists, data analysts and data engineers creating pipelines for everyone involved in the data management process.