Using Apache Arrow to Quickly Build Modern Data Systems
This announcement introduces Li Chenxi, a big‑data R&D engineer, and outlines his talk on leveraging Apache Arrow’s columnar in‑memory format to efficiently construct modern, read‑time modeling data systems, highlighting key features, ecosystem, and practical implementation benefits for the audience.
Li Chenxi, an R&D engineer at Yanhuang Data and a graduate of Nanjing University, focuses on the development of big‑data processing and analysis systems and is currently working on a query engine for a read‑time modeling data system.
The presentation, titled “Using Apache Arrow to Quickly Build Modern Data Systems,” will discuss the trend toward specialized data systems and the need for rapid, efficient construction of such systems.
The talk will introduce the next‑generation columnar in‑memory format Apache Arrow and share practical experience of building a read‑time modeling data system using Arrow.
Audience benefits include: (1) understanding the key features of Apache Arrow as a universal columnar memory standard; (2) learning about the Arrow ecosystem and its applications; and (3) seeing a real‑world implementation of Arrow for constructing modern data systems.
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