Tag: data-processing
Browse 10 practical software engineering resources tagged with "data-processing". Discover code recipes, design patterns, documentation templates, and in-depth guides to help you build, deploy, and maintain production-ready solutions involving data-processing. Each resource is written for engineers who ship real systems, with copy-paste examples and practical trade-offs.
Data Processing Pipelines
Data processing turns raw data into useful information. Production pipelines must handle volume, schema changes, failures, and monitoring while keeping output accurate and timely.
The resources below cover batch processing, stream processing, ETL, transformations, validation, and orchestration. Each recipe shows how to build data pipelines that are reliable and observable.
Every resource includes clear explanations, copy-paste code, and practical warnings. Use them to make informed decisions, avoid production pitfalls, and speed up your delivery. If you are just getting started, read the beginner-friendly articles first; if you are experienced, jump straight to the advanced patterns and architecture guides. New resources are added regularly, so bookmark this page and check back for the latest patterns.
Convert CSV to JSON
Turn CSV files into structured JSON using Python, JavaScript, and Java. Pick the right library for...
Generate PDF Reports in Python: ReportLab & fpdf2 Guide
Create styled PDF documents from data using ReportLab and fpdf2 in Python.
Merge JSON Files
How to merge multiple JSON files into a single object or array in Python, Java, and JavaScript.
Merge JSON Files in JavaScript
Combine multiple JSON files with conflict resolution strategies using Node.js.
Parse CSV Files
How to parse CSV files in Python, Java, and JavaScript with practical code examples.
Parse CSV Files with Python and Pandas
How to read, filter, and transform large CSV files efficiently using Python pandas and the csv...
Parse XML Files
How to parse XML documents in Python, Java, and JavaScript with practical code examples.
Read and Write Excel Files with Python
How to read, write, and format Excel spreadsheets using openpyxl and pandas in Python.
Pipes and Filters Pattern: Composable Data Pipelines
Chain processing steps with independent filters connected by pipes. A pattern for data...