In this article, we will demonstrate how to import tables from a CSV file, flatten the nested data using transformations, and move the cleaned data into the destination database using Bold Data Hub. Follow the step-by-step process below.
Sample Data Source:
Learn about Pipeline Creation
Learn more about transformation here
Nested data structures, such as JSON, can be difficult to analyze directly in SQL because they do not fit neatly into a table format. Flattening these structures converts them into a more accessible table format, making it easier to query and analyze the data.
We can flatten the nested data by extracting the relevant fields from the JSON structure into separate columns. For example, we can extract values like customer information, ticket details, or support issues into their own columns for easier analysis.
SELECT
title,
author,
json_extract(metadata, '$.description') AS description,
CAST(json_extract(metadata, '$.price') AS DECIMAL) AS price,
UNNEST(json_extract(metadata, '$.ages')::int[]) AS age
FROM {pipeline_name}.books;