Parquet
Apache Parquet is a free and open-source column-oriented data storage format of the Apache Hadoop ecosystem.
What Parquet does
Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval. It provides efficient data compression and encoding schemes with enhanced performance to handle complex data in bulk.
Parquet is available in multiple languages including Java and C++, Python, etc.
Use cases
- Parquet files compress data effectively, reducing the size of data transfers to Amplitude. This efficiency is crucial for sending large volumes of event data, minimizing network bandwidth usage and storage costs.
- By ingesting data stored in Parquet format, Amplitude can perform high-speed analytics on large datasets. The columnar storage format of Parquet enables Amplitude to quickly access and analyze specific columns of data without loading the entire file, speeding up query times and improving the performance of analytics operations.
Integrate Parquet with Amplitude
Apache Parquet is a free and open-source column-oriented data storage format of the Apache Hadoop ecosystem.
Similar integrations
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