Data Engineering & Conversion
8 articles
- Jun 1, 2026
Getting API Response Data Into a Spreadsheet Without Code
APIs return JSON. Stakeholders want Excel. Here's how to bridge that gap in minutes without writing a single line of code.
- Jun 1, 2026
JSON to CSV: How to Flatten Nested Objects for Spreadsheets
APIs return nested JSON. Spreadsheets need flat columns. Flattening converts nested objects to dot-notation column headers so every value gets its own column.
- Jun 1, 2026
How to Generate SQL INSERT Statements from a CSV File
Turn a CSV file into ready-to-run SQL INSERT statements — with CREATE TABLE, the right dialect for your database, and correct handling of nulls and special characters.
- Jun 1, 2026
5 Data Quality Checks to Run Before Importing a CSV to a Database
A failed database import is almost always a data quality problem. Five checks that catch the most common issues before you run a single INSERT statement.
- Jun 1, 2026
CSV to JSON in Python vs. Online Tools: When Each Makes Sense
Online CSV to JSON tools are faster for one-off jobs. Python is better for automation and large files. Here's how to decide which to reach for.
- Jun 1, 2026
CSV to JSON: The Complete Conversion Guide for Developers and Analysts
Why you need to convert CSV to JSON, the three output formats to know, and how to do the conversion in a browser, Python, or JavaScript.
- Jun 1, 2026
Importing CSV Data Into PostgreSQL, MySQL, and SQLite: A Side-by-Side Guide
Three databases, three import approaches. A practical side-by-side comparison of importing CSV data into PostgreSQL, MySQL, and SQLite.
- Jun 1, 2026
SQL INSERT Statements Explained: Syntax, Examples, and Common Mistakes
INSERT INTO is how you add rows to a SQL database. Here's the syntax, how batch inserts work, how to handle NULLs, and the mistakes that cause errors.