Chapter 49. Data Services Introduction

    Data Services allow deploying/publishing data or exposing a data transformation in the form of REST API. The logic of the service is implemented using a CloverDX graph which has a full access to HTTP context of the rest call: incoming data, request parameters and headers. Service can respond with data, response HTTP headers and status codes. All of this is in direct control of the service developer.

    Data Services are optimized to respond with JSON and XML payloads which are the most common in REST, but developers may use arbitrary response payload formats as well.

    Some scenarios where Data Service can be helpful:

    • Create a REST API as a 'wrapper' for a legacy system that lacks API, while using CloverDX logic to retrieve data from the system’s underlying database structures;

    • Create a single collection endpoint. Clients can upload data to the REST endpoint, while CloverDX logic validates incoming data and stores it to a database or broadcasts it to other systems.

    • Creating a backend REST service for a JavaScript framework like React, AngularJS or JQuery library. Under Ajax web development techniques, the JavaScript in frontend requests data asynchronously from RESTful backend services, typically responding with JSON payloads which are easy to parse and process in JavaScript.

    Data Service is available since CloverETL 4.7.0-M1.