Convert table to Arrow
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Apache Arrow is a cross-language platform for in-memory data. It defines a standard columnar memory format for flat and hierarchical data that works across different programming languages. This format is optimized for efficient analytics on modern hardware like CPUs and GPUs.
Arrow can handle complex nested data structures and lets you query and work with specific columns without reading the entire dataset.
Key Features
- Columnar memory format for flat and hierarchical data
- Works with any programming language
- Optimized for analytics and modern hardware
- Supports complex nested data structures
- Enables efficient zero-copy reads
Use Cases
Apache Arrow shines in scenarios like:
- Big data processing and analytics
- Machine learning and AI pipelines
- Data exchange between different systems and languages
- High-performance computing applications
Its efficient memory layout and standardized format make it a great choice for applications that need fast data processing and compatibility between different tools and languages.
Common Use Cases
Data Interoperability
Convert table to Arrow to work with systems that support different formats.
Data Integration
Transform table data into Arrow for seamless integration with other tools and workflows.
Common Questions
What Are People Saying About Us
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April 19, 2023
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July 28, 2021
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@prez_pau
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July 6, 2017
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@jmcarran
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January 1, 2018
John Meyerhofer
@JRMeyerhofer
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July 18, 2018
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