Previously we showed how to declare relationships between tables. Once a relationship is in place, specific objects stored in the tables may be linked with each other.

Data objects in Backendless can be connected to related properties not only in other tables, but also with Geopoints. These relationships may be declared programmatically or using Backendless Console. In this post, we will review the process of declaring a Data-to-Geo relationship in a data table schema.

Backendless database provides a very simple, but powerful API for storing, searching, updating or deleting application objects. The “feature 1” post demonstrates how to save objects with relations in Backendless using the APIs.

As data objects are being saved or updated with the API requests some properties of the objects may not have a value assigned to them. It may be necessary that for those properties a default value is assigned. This is identical to how relational databases may have a default value for a column.

When saving or updating a data object in a persistent storage, it is often necessary to make sure a property follows a particular data format. For instance, properties like email address, a US phone number, a bank account number, a URL and many others may be validated with regex (a regular expression). Backendless makes it…

In another post, we described how to declare a relationship in a data table schema with a geopoint. Now that you know how to create a table column that contains one or more geopoints, we are going to show how to populate it with data.

In another post, we described a feature where you can import data to Backendless using CSV files. In that post, we used CSV files that already had the data type defined for each column.

If a data table in your application has a column of the DATETIME type, the values for that column will be rendered by Backendless Console in mm/dd/yyyy hh:mm:ss format. For many applications, and specifically in some industries like telecommunications or finance, it is important to see the date objects in a “neutral” format and often…

In a previous feature, we described how to manually create data tables in Backendless Console. In this post, we will show how to set up a data table schema.