Posted on April 26th, 2022
Comma-Separated-Value files, commonly known as CSV files, have been around for nearly fifty years. Traditionally, the text-based file format has been used for interoperability between separate platforms and applications allowing data to be exchanged between these. They are often associated primarily with getting data in and out of databases and spreadsheets. This is of course still the case, however the ability to access and transfer these files across the Cloud effortlessly has increased their usefulness and applicability, especially in the ever-expanding data-driven era.
Though the format is not completely standardized, CSV files typically will consist of one or more fields, with each record/row containing an identical group of delimited values. While commas are most often used as the delimiter between data values, sometimes semicolons, tabs, pipes, or other characters are used to separate data in fields, along with quotation marks in cases where the delimiter might actually exist within a field value.
Conveniently, in the era of the Cloud, a URL pathname can serves as the access point to a CSV file, allowing them to be stored on the Web and ubiquitously accessed via Cloud-based tools and applications. Now, libraries of these CSV files exist in many corners of the Web containing data in practically every category imaginable.
Interzoid has enabled URL-based CSV file access as one of its many supported database formats for its platform along with many different database platforms (Postgres, MySQL, Amazon RDS, Azure SQL, Snowflake, Google Cloud SQL, etc.)
Now, you can simply used the pathname as the "Data Connection" parameter to generate fuzzy match reports across several different types, identify inconsistently represented data, standardize data, enhance data with third-party data, provide detailed data analysis, and several more automated data processing capabilities, all at the click of a button, without any coding, and without any software to install.
There is free tier available to get going and try things out. To see it in action, you can try processing CSV data in the Cloud using our Interzoid Cloud Data Connect product. For more information about how we enable Cloud processing of CSV files, or the free tier, please visit us at www.interzoid.com to learn more.
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