CRUD DS careers
Our customers: Web app developers, web designers
Problems face by our customers:
1) Complicated data validation (country based phone numbers, email validation, date range validation, etc)
2) Steep learning curve of database CRUD operations.
3) Inconsistent terminologies in databases' libraries
4) Long development times and data modification are not straight forward.
Our solution:
A robust, theoretically infinitely deep data structure creation, validation and query generator. This tool will enable you to
1) Validate if human entered data are within declared range and condition.
2) Data structures can theoretically be infinitely deep (Object of Object of Array of Object of...).
3) Create query specific data structures (e.g. only query all documents with the tag "Physics" in an array field named "Modules")
3) Incorporate different databases with the same syntax.
4) Update data structure within minutes.
5) Go from planning to development to deployment within an hour.
Problems face by our customers:
1) Complicated data validation (country based phone numbers, email validation, date range validation, etc)
2) Steep learning curve of database CRUD operations.
3) Inconsistent terminologies in databases' libraries
4) Long development times and data modification are not straight forward.
Our solution:
A robust, theoretically infinitely deep data structure creation, validation and query generator. This tool will enable you to
1) Validate if human entered data are within declared range and condition.
2) Data structures can theoretically be infinitely deep (Object of Object of Array of Object of...).
3) Create query specific data structures (e.g. only query all documents with the tag "Physics" in an array field named "Modules")
3) Incorporate different databases with the same syntax.
4) Update data structure within minutes.
5) Go from planning to development to deployment within an hour.
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