If you want to torture data - store it in CSV format
Are you using CSV files as a primary file format for your data? CSV is a very useful file format if you want to open the file in Excel and analyze it right away. CSV format stores tabular data in plain text, it is old and was wildly used in the early days of business computing. However, if you plan to keep raw data in the data lake, you should reconsider using CSV. There are many modern file formats that were designed for data analysis. In the cloud world of data lakes and schema-on-read querying systems, like AWS Glue or Databricks, CSV files will slow you down. Today I want to talk about Parquet, a modern file format, invented for fast analytical querying. Parquet files organize data in columns, while CSV files organize data in rows. Columnar storage allows much better compression so Parquet data files need less storage, 1 TB of CSV files can be converted into 100GB of parquet files – which can be a huge money saver when cloud storage is used. This also means that scanning parquet f