Data Format Conversion Tools

Convert files from one format to another enables you to restructure data.

CSV to JSON

Convert CSV to JSON format

JSON To CSV

Convert JSON to CSV format

JSON To XML

Convert JSON to XML format

XML To JSON

Convert XML to JSON format
Improved

Convert JSON to PHP Array

JSON to PHP Array converter

C# Escape / Unescape

C# Escape / C# Unescape special characters. Csharpe convert

Java Escape / Unescape

Java Escape / Java Unescape special characters
New

Javascript Escape / Unescape

Javascript Escape / Javascript Unescape special characters

JSON Escape / Unescape

JSON Escape / JSON Unescape special characters
New

XML Escape / Unescape

XML Escape / XML Unescape special characters

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What are Data Format Conversion Tools used for?

  • Convert CSV to JSON format
  • Convert JSON to CSV format
  • Convert JSON to XML format
  • Convert XML to JSON format
  • JSON to PHP Array converter
  • Escape and Unescape special characters in building a C# string
  • Escape and Unescape special characters in building a Java string
  • Escape and Unescape special characters in building a Javascript string
  • Escape and Unescape special characters in building a JSON string
  • Escape and Unescape special characters in building a XML string


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Convert Data File Formats

The process of converting data from one format to another is known as data conversion. While the concept may appear simple, data translation is an essential stage in the data integration process. Data handlers can use data conversion software to convert data files between different formats.

 

What is ETL? 

ETL stands for "extract, transform, and load." In data integration techniques, the ETL procedure is crucial. Businesses can use ETL to collect data from various sources and combine it into a single, centralized location.Different sorts of data can also operate together with the help of ETL.

ETL (extract, transform, and load) is a data integration process that integrates data from several sources into a single, consistent data store that is then loaded into a data warehouse or other destination system.

 An organization often uses ETL to:

  1.     Extract data from legacy systems
  2.     Cleanse the data to improve data quality and establish consistency
  3.     Load data into a target database

 

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Top Tools

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Most Popular Tools