Boxalino Data Integration Document Schema collection, used for the upgraded Data Integration strategy.

1. Read more about Data Integration with Boxalino

2. Read more about the Data Structure

If you are preparing a data integration with Boxalino, the repository can be used for:

1. tracking structural updates.

2. testing your JSONL with the use of GCLOUD SDK:

bq load --source_format=NEWLINE_DELIMITED_JSON $TABLENAME $FILE $SCHEMA

where,

• $TABLENAME is the table in your BigQuery dataset,
• $FILE is the content to be loaded (JSONL)
• $SCHEMA is the schema JSON from the repository (ex: ./doc/doc_product.json)

3. testing your JSONL with the use of the generator.html
   • a) copy locally the generator.html
   • b) copy the JSON schema from the doc types
   • c) paste the JSON schema in the generator.html, for var bqSchema=[];
   • d) open the generator.html in your browser
   • e) copy the displayed JSON object schema, generated for your data type
   • f) open any JSON validator of your choice (ex: https://www.jsonschemavalidator.net/, https://jsonschemalint.com/)
   • g) paste the JSON object schema and your JSONL data
   • h) fix any errors

Note: the JSON validators are only able to validate the properties from your JSON sample that exist in the JSON schema definition. Please make sure to not use undocumented properties in your JSON samples.

Is the data structured to match the requirements for Boxalino Data Structure? Review the upcoming technical steps to take to make it part of the Boxalino Data Wharehouse Ecosystem here

If you have any question, just contact us at [email protected]