Retrieving one-to-many and many-to-many related data is a recurring theme in Web apps. This post attempts a best approach in Django.
All applications are different. However some themes keep coming up.
One such theme is retrieving data from several tables. Tables related using one-to-many and many-to-many relationships.
Since this post is inspired by Django’s own docs, it builds on the
Topping example entities to demonstrate a typical many-to-many relationship. I.e. a
Pizza has one-to-many
Toppings. And a
Topping can be on one-to-many
The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.
Both relational and non-relational data stores serve a real purpose in modern development, so the functional needs of a business should drive the choice of tools.
Data Quality Testing Skills Needed For Data Integration Projects. Data integration projects fail for many reasons. Risks can be mitigated when well-trained testers deliver support. Here are some recommended testing skills.
A data lake is totally different from a data warehouse in terms of structure and function. Here is a truly quick explanation of "Data Lake vs Data Warehouse".
Google Data Studio helps us understand the meaning behind data, enabling us to build beautiful visualizations and dashboards that transform data into stories.