GoodMeetup #7: How to Get the Fastest Analytics with Apache Arrow

Description

In this recording of our first in-persone event of the year, we take a deep dive into the world of Apache Arrow with expert and writer of In-Memory Analytics with Apache Arrow: Perform Fast and Efficient Data Analytics on Both Flat and Hierarchical Structured Data, Matt Topol.

Used by projects such as Apache Parquet, ClickHouse, Polars, and pandas, Apache Arrow's columnar format has become the de-facto standard for in-memory analytics, enabling high-performance data processing and interoperability. But the Arrow ecosystem offers even more—the Apache Arrow Flight framework revolutionizes the way we build and integrate data services with unparalleled efficiency.

In this recording, Matt provides a look at the internals of Apache Arrow, exploring how this powerful columnar data format revolutionizes data processing and analytics.

Adding a real-world perspective, Jacek from GoodData discusses how GoodData leverages the Arrow ecosystem to elevate the GoodData analytics platform to the next level and designed the core of the implementation to be GoodData-agnostic, making it versatile and adaptable for various use cases.

Whether you’re a data enthusiast, engineer, or curious about modern data architectures, this recording is your opportunity to learn and gain practical insights into Apache Arrow’s capabilities and how it can transform the way we think about modern data services and analytics!