Introduction

Parquet is a popular columnar storage format that is widely used for storing big data in the Hadoop ecosystem. It is an efficient way of storing large amounts of data in a column-based format and is optimized for use with big data processing tools like Apache Spark and Apache Hive.

Parquet Reader

Parquet Reader is a tool that can be used to read parquet files and convert them into either JSON or CSV format. This is especially useful if you have data stored in parquet format and you want to use it in a different application or script that does not support parquet.

Downloading Parquet Files as JSON or CSV

Parquet Reader allows you to download parquet files as JSON or CSV with just a few clicks. All you need to do is specify the location of your parquet file and the format that you want to convert it to (either JSON or CSV). The tool will then do the conversion for you, and you can download the resulting file for use in your application or script.

Transformation API

In addition to the download feature, Parquet Reader also provides a transformation API that can be used to transform parquet files to JSON or CSV. This API can be integrated into your own application or script and can be used to perform the conversion programmatically.

AVRO Format Support

Parquet Reader is currently focused on supporting the Parquet format. However, we are actively working on adding support for the AVRO format, which is another popular columnar storage format.

Conclusion

Parquet Reader is a useful tool for anyone who needs to work with parquet files and wants to convert them into a more usable format. With its easy-to-use interface and powerful transformation API, it provides a convenient way to access and use your big data in the format that works best for you.