isadoramsouza/data-integration-challenge

API Rest em GO para integração e consulta de dados em banco.

Data integration challenge

Welcome to Data Integration challenge.

Yawoen company has hired you to implement a Data API for Data Integration team.

Data Integration team is focused on combining data from different heterogeneous sources and providing it to an unified view into entities.

The challenge

It would be really good if you try to make the code using Go language :) The other technologies you can feel free to choose.

1 - Load treated company data in a database

Read data from CSV file and load into the database to create an entity named companies.

This entity should contain the following fields: id, company name and zip code.

• The loaded data should have the following treatment:
  • Name: upper case text
  • zip: a five digit text

support file: q1_catalog.csv

2 - An API to integrate data using a database

Yawoen now wants to get website data from another source and integrate it with the entity you've just created on the database. When the requirements are met, it's mandatory that the data are merged.

This new source data must meet the following requirements:

• Input file format: CSV
• Data treatment
  • Name: upper case text
  • zip: a five digit text
  • website: lower case text
• Parameters
  • Name: string
  • Zip: string
  • Website: string

Build an API to integrate website data field into the entity records you've just created using HTTP protocol.

The id field is non existent on the data source, so you'll have to use the available fields to aggregate the new attribute website and store it. If the record doesn't exist, discard it.

support file: q2_clientData.csv

Extra - Matching API to retrieve data

Now Yawoen wants to create an API to provide information getting companies information from the entity to a client. The parameters would be name and zip fields. To query on the database an AND logic operator must be used between the fields.

You will need to have a matching strategy because the client might only have a part of the company name. Example: "Yawoen" string from "Yawoen Business Solutions".

Output example:

{
	"id": "abc-1de-123fg",
	"name": "Yawoen Business Solutions",
	"zip":"10023",
	"website": "www.yawoen.com"
}