In-memory analytics with Apache Arrow perform faster and more efficient data analytics on both flat and hierarchical structured data
Process tabular data and build high-performance query engines on modern CPUs and GPUs using Apache Arrow, a standardized language-independent memory format, for optimal performance Key Features Learn about Apache Arrow's data types and interoperability with pandas and Parquet Work with Apache A...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England ; Mumbai :
Packt
[2022]
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009669522506719 |
Tabla de Contenidos:
- Table of Contents Getting Started with Apache Arrow Working with Key Arrow Specifications Data Science with Apache Arrow Format and Memory Handling Crossing the Language Barrier with the Arrow C Data API Leveraging the Arrow Compute APIs Using the Arrow Datasets API Exploring Apache Arrow Flight RPC Powered By Apache Arrow How to Leave Your Mark on Arrow Future Development and Plans.
