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Apache Arrow: Efficient In-Memory Format and Data Exchange with PyArrow

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Apache Arrow: Efficient In-Memory Format and Data Exchange with PyArrow

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InnoIT Consulting is delighted to invite you to our meetup next Tuesday, May 13th at 18:30h.

🎙️Apache Arrow: Efficient In-Memory Format and Data Exchange with PyArrow.

SUMMARY

The speaker will be Raúl Cumplido (Scientific Software Engineer at QuantStack).

This talk introduces Apache Arrow, an open-source columnar, in-memory data format designed for high-performance analytics and efficient data exchange, and Pyarrow, its Python implementation. We will show why it has become the de facto standard for in-memory data representation and how to efficiently share data between systems leveraging Arrow's memory format interoperability.

We will highlight how the Apache Arrow in-memory format powers seamless integrations across a wide range of tools and frameworks, including Pandas, Polars, DuckDB, Velox, Iceberg, Datafusion, Spark, and more. Many of these projects use the format under the hood, often without users realizing it. We will present the project's newer developments and current status.

With time for a dynamic Q&A session and, of course, our networking with food 🍕 and drinks 🍻.

👥 Do you want to come along? Share this invitation with all your contacts, or click the "share" button below.

WHEN: Tuesday, May 13th at 18:30h
WHERE: Oficinas InnoIT Consulting, C/ Diputació, 280, Bajos 2ª, 08009, Barcelona
LANGUAGE: English

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InnoIT Consulting

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C/ Diputació, 280, Bajos 2ª · Barcelona
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