What is Data Schema?

The Data Schemas feature in Reekoh allows you to describe the structure of your data as it flows through the different plugins in your pipeline.

The following are the different data types you can select when defining the structure of your data:

Data Type	Description	Sample JSON Value
String	Contains sequence of alphanumeric characters enclosed in single or double quotation marks.	"Reekoh" "Hello 123"
Number	Contains any number value in integers or floating-point numbers.	123 3.14 -31
Boolean	Contains true or false value. Note: Zero value is considered false while non-zero value is considered true.	True False 0 123
Date	Contains date and time value. Note: The date and time format are based on ISO 8601 (e.g., YYYY-MM-DDTHH:MM:SSZ).	"2019-01-01T23:20:55Z"
Object	Contains an unordered set of key/value pairs enclosed in curly braces. Values are separated by a comma.	{"Company": "Reekoh", "Address": "123 Cherry Tree Rd"}
Array	Contains an ordered collection of data elements enclosed in square brackets. Values are separated by a comma.	["Reekoh", "123 Cherry Tree Rd", 1226]
Mixed	Can accommodate any of the data types.	"Hello World" True 3.14