Speed Up Data Access with PyArrow Apache Arrow - Data is the New API

Explore the world of Apache Arrow and its Python library PyArrow in this informative talk from PyCon US. Learn about a revolutionary approach to data access that eliminates the need for APIs and serialization/deserialization cycles. Discover how Apache Arrow's language-independent columnar memory format enables zero-copy reads for lightning-fast data access across multiple programming languages. Gain insights into PyArrow's architecture, use cases, and integration with popular Python libraries like pandas and numpy. Examine interesting statistics and improvements that can help determine if PyArrow is suitable for your work. Additionally, get introduced to Apache Flight, a high-performance wire protocol designed for bulk data transfer in analytics. While not a tutorial, this talk provides valuable information to help you decide whether to explore PyArrow for your data access and analytics needs.

Introduction
What is Data
Data is the new API
What is Apache Arrow
Examples
Memory mapped files
Statistics