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Parquet Tools

Apache Parquet is a file format built to support complex data processing. Parquet is column oriented, setting itself apart from row-oriented CSV.

A brief examination of Parquet vs Avro reveals that the primary difference between the two storage formats is the alignment of the storage. Whereas Parquet is stored in columns, Avro is done so in rows.

For queries that involve working with subsets of columns, Parquet is the better choice.

PARQUET TOOLS FUNCTIONALITY

Parquet tools is a utility for the inspection of Parquet files. A Parquet schema example will likely vary from nested to non-nested. Its versatility and broad compatibility is a driving factor of the popularity of Parquet -- and Parquet tools.

The schema definition will determine what is required within the data page.

A Parquet file sample will reveal the flexibility that Parquet offers.

Parquet tools , such as "cat," "meta" and "schema" empower users to search the files and data for specific answers.

Parquet tools can be built by users to read Parquet files. Understanding the proper tools strengthens the uses of Parquet.

PARQUET TOOLS AND SNOWFLAKE

Users can easily load Parquet formats, including semi-structured data, into Snowflake and also unload relational Snowflake table data into separate columns in a Parquet file.

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