Apache Parquet is a columnar format for storing tabular data and compresses well. It compresses well and works well with the Apache Arrow data format when doing data analysis.

A Parquet file stores data in a columnar format. Parquet files often have high compression ratios. This makes them small compared to a CSV file or JSON file that stores the same data.

Parquet files also deserialize nicely into Apache Arrow format. The Arrow format is used by many in-memory analytics systems. This makes Parquet a more efficient format for data systems than CSV files

Parquet

Select the file format you want to convert to

Upload your Parquet file to the converter

The converted file will automatically download

Parquet files store tabular data in a coumnar format. This format allows the data to compress efficiently, and it is efficient to query from data systems.

Data systems can query small parts of a Parquet file without having to read the whole file. This process is known as predicate pushdown.

Each column of a Parquet file can be read independently. If only one column is required from the Parquet file, then the querying system can choose to only read that column from the disk. This is not possible with other storage formats like CSV files.

Parquet files store metadata about chunks of rows. This includes the max and min values for each column. This enables data systems to query specific row ranges from a Parquet file without reading the entire file from a disk.

For example, if one column in a Parquet file is sorted by timestamp, and a data system only needs data from the last 3 weeks. Then the system can read row batches that have data from the last three weeks. This reduces the amount of data that needs to be read from disk.

Parquet files are stored in a binary format. This means that they cannot be opened and viewed by most computer applications. 

Parquet files are well supported by some data systems, but they are not very well supported by software applications on Windows or Mac.

The easiest way to read data from a Parquet file is to convert it to a CSV file.  A lot of applications support CSV files.

It can be difficult to analyze data in Parquet files without writing software or converting them to CSV first. One reason I built We Do Data Science is to enable people to analyze data in Parquet files without needing to write software. 

You can start analyzing the data in a Parquet file by uploading it to your datasets and then clicking explore.

Parquet is really useful when you want to upload or download a table of data, but it is not very well supported by other websites or applications.

If you want to upload your data to another website or application, then CSV is a good alternative.

JSON

 Sometimes I have a JSON file that I need to convert to another format. Other times I have data in a different format that I need to convert to JSON.

This JSON converter can convert your JSON data into another data format. It can also convert other formats to JSON.

JSON stands for JavaScript object notation. It is the main data format us by web applications. This is because web applications use often use JavaScript and when they need to write data to a file they often use JSON.

JSON data can be difficult to analyze because it doesn't have a schema. Many data processing systems do not understand JSON data.

To analyze JSON data, it can be easiest to convert into another format and then upload it to your data system. You can use this JSON converter to convert your JSON data into another format like parquet or CSV. After your data is converted you can analyze it more easily.

The Easiest way to view JSON data in Excel is to convert the JSON data into CSV. You can use this JSON converter to convert your JSON data into CSV. After your data is converted, you can then upload it to Excel.

To convert your JSON data to CSV select the CSV option at the top of this page. This will take you to the JSON to CSV converter.

When you are on the JSON to CSV converter, you can select a file or manually input your data. Click convert to convert your data. Once your data has been converted a download button will appear. Click the download button to download your CSV file.

When you have your CSV file you can upload it to Excel.

The same method works for uploading JSON data to Google Sheets.

JSON files can be opened by text editors on most operating systems. But it is difficult to view a .json file on Windows.

On Mac you can use TextEdit. On Linux you can use Gedit.  .json files can be difficult to view on Windows.

The easiest way to view tabular data in a JSON file on Windows is to convert it to CSV. You can use the JSON to CSV converter to convert your JSON data into a CSV file.

Click the CSV button at the top of this page. This will take you to the JSON to CSV file converter. On the converter, you can upload your JSON data file.  when your file has been uploaded that convert and the and the JSON file is converted. A download button will appear if you click your converter data will be downloaded as a CSV file afterward you can decide whether you want to convert another file.

JSON files can be read by text editors on most operating systems. If you cannot view a JSON file that might mean that you don't have software that can open it installed.

The easiest way to view tabular data from a JSON file is to convert the file to CSV. You can use this JSON to CSV converter to convert your file to CSV.

To use a JSON to CSV converter just left the CSV button at the top of this page.

Convert Parquet To JSON

How to Convert from Parquet to JSON