Revision history [back]

There are several approaches to effectively importing large XML or CSV files while filtering them:

Use a powerful text editor: A powerful text editor like Sublime Text or Atom can handle large files and provide advanced filtering capabilities. You can use regular expressions to search and filter the data that you need.
Use a scripting language: You can use a language like Python or Perl to read the large file, filter it based on your criteria, and output the relevant data into a new file. These languages have powerful libraries for handling large files and parsing XML or CSV, which can make the task easier.
Use a database: Import the large XML or CSV file into a database like MySQL or MongoDB. Then you can filter the data using SQL queries or a NoSQL query language like MongoDB's query language.
Use a specialized tool: Consider using specialized software tools that are designed for working with large files. These tools, such as Apache NiFi or Talend, can help you handle the import and filtering process with ease. They also come with various built-in features like data transformation, data quality, and data enrichment.
Use cloud-based tools: Cloud-based tools like AWS Data Pipeline, Google Cloud Dataflow or Azure Data Factory can handle large XML or CSV files and provide advanced filtering capabilities. These tools can also help you manage your workflows and automate your data processing pipelines.