Mis on Arrow ja kus seda rakendatakse?

Apache Arrow is a cross-platform data format and a collection of libraries for efficient representation and exchange of tabular data in memory. It is optimized for fast access and processing of large volumes of data without the need for serialization and deserialization.

Main applications of Arrow:

• Data exchange between systems: Arrow allows different tools (e.g., Python, Java, C++) to exchange data directly in memory, significantly speeding up interaction.
• Optimization of analytical and machine learning pipelines: thanks to the columnar format and efficient storage, Arrow accelerates aggregation, filtering, and transformation operations.
• Use in big data processing systems: many modern frameworks (e.g., Apache Spark, Pandas, Dask) support Arrow to improve performance.

Example: when working with large dataframes in Python, pyarrow can be used to convert data to the Arrow format and back, speeding up data transfer between processes or systems.